The document discusses a new low-cost robot called Baxter created by Rethink Robotics that is designed to make US manufacturing more competitive. Baxter costs under $30,000, can perform simple repetitive tasks safely alongside people without cages, and is easy to program. Its low price point is helping more manufacturers adopt new automation technologies. Rethink plans to continually add new capabilities through software updates, treating Baxter like a platform that increases in value over time rather than depreciating like traditional hardware.
Rahul Budhiraja has extensive experience in augmented reality research and development. He is currently the technical architect for Project Beyond at Samsung Research America, which is developing the world's first true 3D 360 degree omniview camera. He has held research positions at MIT Media Lab, University of Canterbury, National University of Singapore, and Indian Institute of Information Technology. He co-founded Tesseract Imaging, a startup focused on mobile imaging applications.
Hiroshi Ishiguro is a Japanese roboticist who has created highly human-like androids in his own image and the images of others. His research focuses on developing humanoid robots that can serve as social partners for humans. He believes that as robots become more human-like in their interactions, humans will be able to form genuine emotional attachments to them. However, fully realizing his vision will require overcoming significant technical challenges in areas like movement, speech recognition, and integrating all of a robot's sensors.
This document certifies that Ala'a Al-Halawani has passed the Cisco Certified Network Professional Routing and Switching exam and is recognized as a Cisco Certified Network Professional with this certification valid through October 25, 2018. The certificate can be verified online with the provided certificate number and Cisco ID number.
The document discusses emerging technology of human-robot collaboration in the workplace. It describes how collaborative robots, or "cobots", are designed to safely work alongside humans. Cobots use sensors and software to detect humans and change paths to avoid collisions. While robots increase efficiency and productivity, concerns include potential job losses and how to regulate responsibilities. The future of cobots in industries is promising but challenges remain regarding integration of humans and robots.
Page 1 of 14 ENS4152 Project Development Proposal a.docxkarlhennesey
Page 1 of 14
ENS4152 Project Development
Proposal and Risk Assessment Report
Baxter Research Robot: Solving a Rubik’s Cube
Chris Dawes
Student # 10282558
30 Mar 2015
Supervisor: Dr Alexander Rassau
Page 2 of 14
Abstract
Robotics is currently used to perform many tasks but many of these are simple repetition of a
predefined method. By combining AI with robotics we can greatly increase the applications of
robotics. An algorithm that combines the vision and servo systems of a Baxter Research Robot
with a solving solution for a Rubik’s cube will demonstrate that the use of even simple AI with
robotics allows complex tasks to be completed. Further integration of object recognition will
allow the task to be completed in a dynamic environment, and further increase the areas
robots are capable of working within.
1. Introduction
1.1. Motivation
The Baxter Research Robot by Rethink Robotics is a dual arm robot, with seven degrees of
freedom per arm, released in 2012. Developed to be affordable, flexible in its purpose, and
above all else safe, Baxter includes three cameras, one on each wrist and the other on its head,
and a screen for displaying information relating to Baxter’s current task. The robot is designed
to be a versatile research platform while containing the same hardware as its industry
counterpart, allowing research to translate into industrial applications (Rethink Robotics,
2015).
In general robotics artificial intelligence (AI) has been developed separately to robotics, but is
now starting to become integrated. Unfortunately current AI is fragmented as each application
focuses on one area, as opposed to making a true AI that thinks like a human (Bogue, 2014).
Current usable AI is more akin to ‘smart’ robotics where decisions are made and problems
solved by the robot in very specific applications. In industry, robots are expanding into areas
that require more flexibility allowing robots to fill many more positions in increasingly complex
areas (Hajduk, Jenčík, Jezný, & Vargovčík, 2013). Mobile robots are even becoming more
common place, allowing for dynamic and spread out workspaces. These are all due to adding
sensing and analysis to robots allowing them to react to dynamic environments.
To further robotics in industry, multi robot work cells have been designed that combine
several robots working on the same part while cooperatively performing either one task, such
as welding and the required handling, or multiple tasks at the same time (Hajduk, Jenčík, Jezný,
& Vargovčík, 2013). The number of activities these work cells can perform increases
Page 3 of 14
dramatically, as the complexity of the task or tasks can be higher while the robots don’t need
to be capable of performing the whole task individually.
For performing more human tasks, dual arm robots have begun to emerge (Hajduk, Jenčík,
Jezný, & Vargovčík, 2013 ...
Page 1 of 14 ENS4152 Project Development Proposal a.docxsmile790243
Page 1 of 14
ENS4152 Project Development
Proposal and Risk Assessment Report
Baxter Research Robot: Solving a Rubik’s Cube
Chris Dawes
Student # 10282558
30 Mar 2015
Supervisor: Dr Alexander Rassau
Page 2 of 14
Abstract
Robotics is currently used to perform many tasks but many of these are simple repetition of a
predefined method. By combining AI with robotics we can greatly increase the applications of
robotics. An algorithm that combines the vision and servo systems of a Baxter Research Robot
with a solving solution for a Rubik’s cube will demonstrate that the use of even simple AI with
robotics allows complex tasks to be completed. Further integration of object recognition will
allow the task to be completed in a dynamic environment, and further increase the areas
robots are capable of working within.
1. Introduction
1.1. Motivation
The Baxter Research Robot by Rethink Robotics is a dual arm robot, with seven degrees of
freedom per arm, released in 2012. Developed to be affordable, flexible in its purpose, and
above all else safe, Baxter includes three cameras, one on each wrist and the other on its head,
and a screen for displaying information relating to Baxter’s current task. The robot is designed
to be a versatile research platform while containing the same hardware as its industry
counterpart, allowing research to translate into industrial applications (Rethink Robotics,
2015).
In general robotics artificial intelligence (AI) has been developed separately to robotics, but is
now starting to become integrated. Unfortunately current AI is fragmented as each application
focuses on one area, as opposed to making a true AI that thinks like a human (Bogue, 2014).
Current usable AI is more akin to ‘smart’ robotics where decisions are made and problems
solved by the robot in very specific applications. In industry, robots are expanding into areas
that require more flexibility allowing robots to fill many more positions in increasingly complex
areas (Hajduk, Jenčík, Jezný, & Vargovčík, 2013). Mobile robots are even becoming more
common place, allowing for dynamic and spread out workspaces. These are all due to adding
sensing and analysis to robots allowing them to react to dynamic environments.
To further robotics in industry, multi robot work cells have been designed that combine
several robots working on the same part while cooperatively performing either one task, such
as welding and the required handling, or multiple tasks at the same time (Hajduk, Jenčík, Jezný,
& Vargovčík, 2013). The number of activities these work cells can perform increases
Page 3 of 14
dramatically, as the complexity of the task or tasks can be higher while the robots don’t need
to be capable of performing the whole task individually.
For performing more human tasks, dual arm robots have begun to emerge (Hajduk, Jenčík,
Jezný, & Vargovčík, 2013.
Page 1 of 14 ENS4152 Project Development Proposal a.docxjakeomoore75037
Page 1 of 14
ENS4152 Project Development
Proposal and Risk Assessment Report
Baxter Research Robot: Solving a Rubik’s Cube
Chris Dawes
Student # 10282558
30 Mar 2015
Supervisor: Dr Alexander Rassau
Page 2 of 14
Abstract
Robotics is currently used to perform many tasks but many of these are simple repetition of a
predefined method. By combining AI with robotics we can greatly increase the applications of
robotics. An algorithm that combines the vision and servo systems of a Baxter Research Robot
with a solving solution for a Rubik’s cube will demonstrate that the use of even simple AI with
robotics allows complex tasks to be completed. Further integration of object recognition will
allow the task to be completed in a dynamic environment, and further increase the areas
robots are capable of working within.
1. Introduction
1.1. Motivation
The Baxter Research Robot by Rethink Robotics is a dual arm robot, with seven degrees of
freedom per arm, released in 2012. Developed to be affordable, flexible in its purpose, and
above all else safe, Baxter includes three cameras, one on each wrist and the other on its head,
and a screen for displaying information relating to Baxter’s current task. The robot is designed
to be a versatile research platform while containing the same hardware as its industry
counterpart, allowing research to translate into industrial applications (Rethink Robotics,
2015).
In general robotics artificial intelligence (AI) has been developed separately to robotics, but is
now starting to become integrated. Unfortunately current AI is fragmented as each application
focuses on one area, as opposed to making a true AI that thinks like a human (Bogue, 2014).
Current usable AI is more akin to ‘smart’ robotics where decisions are made and problems
solved by the robot in very specific applications. In industry, robots are expanding into areas
that require more flexibility allowing robots to fill many more positions in increasingly complex
areas (Hajduk, Jenčík, Jezný, & Vargovčík, 2013). Mobile robots are even becoming more
common place, allowing for dynamic and spread out workspaces. These are all due to adding
sensing and analysis to robots allowing them to react to dynamic environments.
To further robotics in industry, multi robot work cells have been designed that combine
several robots working on the same part while cooperatively performing either one task, such
as welding and the required handling, or multiple tasks at the same time (Hajduk, Jenčík, Jezný,
& Vargovčík, 2013). The number of activities these work cells can perform increases
Page 3 of 14
dramatically, as the complexity of the task or tasks can be higher while the robots don’t need
to be capable of performing the whole task individually.
For performing more human tasks, dual arm robots have begun to emerge (Hajduk, Jenčík,
Jezný, & Vargovčík, 2013.
The document discusses how manufacturers can develop strategies for human and robotic workers to collaborate effectively. It argues that to maximize productivity, these strategies need to incorporate design thinking, studies of human behavior, and partner ecosystems. The strategies should rethink workflows for how humans and robots can complement each other's strengths. This will allow manufacturers to gain unprecedented levels of productivity, innovation, and cost advantages from their human-robot workforces.
Rahul Budhiraja has extensive experience in augmented reality research and development. He is currently the technical architect for Project Beyond at Samsung Research America, which is developing the world's first true 3D 360 degree omniview camera. He has held research positions at MIT Media Lab, University of Canterbury, National University of Singapore, and Indian Institute of Information Technology. He co-founded Tesseract Imaging, a startup focused on mobile imaging applications.
Hiroshi Ishiguro is a Japanese roboticist who has created highly human-like androids in his own image and the images of others. His research focuses on developing humanoid robots that can serve as social partners for humans. He believes that as robots become more human-like in their interactions, humans will be able to form genuine emotional attachments to them. However, fully realizing his vision will require overcoming significant technical challenges in areas like movement, speech recognition, and integrating all of a robot's sensors.
This document certifies that Ala'a Al-Halawani has passed the Cisco Certified Network Professional Routing and Switching exam and is recognized as a Cisco Certified Network Professional with this certification valid through October 25, 2018. The certificate can be verified online with the provided certificate number and Cisco ID number.
The document discusses emerging technology of human-robot collaboration in the workplace. It describes how collaborative robots, or "cobots", are designed to safely work alongside humans. Cobots use sensors and software to detect humans and change paths to avoid collisions. While robots increase efficiency and productivity, concerns include potential job losses and how to regulate responsibilities. The future of cobots in industries is promising but challenges remain regarding integration of humans and robots.
Page 1 of 14 ENS4152 Project Development Proposal a.docxkarlhennesey
Page 1 of 14
ENS4152 Project Development
Proposal and Risk Assessment Report
Baxter Research Robot: Solving a Rubik’s Cube
Chris Dawes
Student # 10282558
30 Mar 2015
Supervisor: Dr Alexander Rassau
Page 2 of 14
Abstract
Robotics is currently used to perform many tasks but many of these are simple repetition of a
predefined method. By combining AI with robotics we can greatly increase the applications of
robotics. An algorithm that combines the vision and servo systems of a Baxter Research Robot
with a solving solution for a Rubik’s cube will demonstrate that the use of even simple AI with
robotics allows complex tasks to be completed. Further integration of object recognition will
allow the task to be completed in a dynamic environment, and further increase the areas
robots are capable of working within.
1. Introduction
1.1. Motivation
The Baxter Research Robot by Rethink Robotics is a dual arm robot, with seven degrees of
freedom per arm, released in 2012. Developed to be affordable, flexible in its purpose, and
above all else safe, Baxter includes three cameras, one on each wrist and the other on its head,
and a screen for displaying information relating to Baxter’s current task. The robot is designed
to be a versatile research platform while containing the same hardware as its industry
counterpart, allowing research to translate into industrial applications (Rethink Robotics,
2015).
In general robotics artificial intelligence (AI) has been developed separately to robotics, but is
now starting to become integrated. Unfortunately current AI is fragmented as each application
focuses on one area, as opposed to making a true AI that thinks like a human (Bogue, 2014).
Current usable AI is more akin to ‘smart’ robotics where decisions are made and problems
solved by the robot in very specific applications. In industry, robots are expanding into areas
that require more flexibility allowing robots to fill many more positions in increasingly complex
areas (Hajduk, Jenčík, Jezný, & Vargovčík, 2013). Mobile robots are even becoming more
common place, allowing for dynamic and spread out workspaces. These are all due to adding
sensing and analysis to robots allowing them to react to dynamic environments.
To further robotics in industry, multi robot work cells have been designed that combine
several robots working on the same part while cooperatively performing either one task, such
as welding and the required handling, or multiple tasks at the same time (Hajduk, Jenčík, Jezný,
& Vargovčík, 2013). The number of activities these work cells can perform increases
Page 3 of 14
dramatically, as the complexity of the task or tasks can be higher while the robots don’t need
to be capable of performing the whole task individually.
For performing more human tasks, dual arm robots have begun to emerge (Hajduk, Jenčík,
Jezný, & Vargovčík, 2013 ...
Page 1 of 14 ENS4152 Project Development Proposal a.docxsmile790243
Page 1 of 14
ENS4152 Project Development
Proposal and Risk Assessment Report
Baxter Research Robot: Solving a Rubik’s Cube
Chris Dawes
Student # 10282558
30 Mar 2015
Supervisor: Dr Alexander Rassau
Page 2 of 14
Abstract
Robotics is currently used to perform many tasks but many of these are simple repetition of a
predefined method. By combining AI with robotics we can greatly increase the applications of
robotics. An algorithm that combines the vision and servo systems of a Baxter Research Robot
with a solving solution for a Rubik’s cube will demonstrate that the use of even simple AI with
robotics allows complex tasks to be completed. Further integration of object recognition will
allow the task to be completed in a dynamic environment, and further increase the areas
robots are capable of working within.
1. Introduction
1.1. Motivation
The Baxter Research Robot by Rethink Robotics is a dual arm robot, with seven degrees of
freedom per arm, released in 2012. Developed to be affordable, flexible in its purpose, and
above all else safe, Baxter includes three cameras, one on each wrist and the other on its head,
and a screen for displaying information relating to Baxter’s current task. The robot is designed
to be a versatile research platform while containing the same hardware as its industry
counterpart, allowing research to translate into industrial applications (Rethink Robotics,
2015).
In general robotics artificial intelligence (AI) has been developed separately to robotics, but is
now starting to become integrated. Unfortunately current AI is fragmented as each application
focuses on one area, as opposed to making a true AI that thinks like a human (Bogue, 2014).
Current usable AI is more akin to ‘smart’ robotics where decisions are made and problems
solved by the robot in very specific applications. In industry, robots are expanding into areas
that require more flexibility allowing robots to fill many more positions in increasingly complex
areas (Hajduk, Jenčík, Jezný, & Vargovčík, 2013). Mobile robots are even becoming more
common place, allowing for dynamic and spread out workspaces. These are all due to adding
sensing and analysis to robots allowing them to react to dynamic environments.
To further robotics in industry, multi robot work cells have been designed that combine
several robots working on the same part while cooperatively performing either one task, such
as welding and the required handling, or multiple tasks at the same time (Hajduk, Jenčík, Jezný,
& Vargovčík, 2013). The number of activities these work cells can perform increases
Page 3 of 14
dramatically, as the complexity of the task or tasks can be higher while the robots don’t need
to be capable of performing the whole task individually.
For performing more human tasks, dual arm robots have begun to emerge (Hajduk, Jenčík,
Jezný, & Vargovčík, 2013.
Page 1 of 14 ENS4152 Project Development Proposal a.docxjakeomoore75037
Page 1 of 14
ENS4152 Project Development
Proposal and Risk Assessment Report
Baxter Research Robot: Solving a Rubik’s Cube
Chris Dawes
Student # 10282558
30 Mar 2015
Supervisor: Dr Alexander Rassau
Page 2 of 14
Abstract
Robotics is currently used to perform many tasks but many of these are simple repetition of a
predefined method. By combining AI with robotics we can greatly increase the applications of
robotics. An algorithm that combines the vision and servo systems of a Baxter Research Robot
with a solving solution for a Rubik’s cube will demonstrate that the use of even simple AI with
robotics allows complex tasks to be completed. Further integration of object recognition will
allow the task to be completed in a dynamic environment, and further increase the areas
robots are capable of working within.
1. Introduction
1.1. Motivation
The Baxter Research Robot by Rethink Robotics is a dual arm robot, with seven degrees of
freedom per arm, released in 2012. Developed to be affordable, flexible in its purpose, and
above all else safe, Baxter includes three cameras, one on each wrist and the other on its head,
and a screen for displaying information relating to Baxter’s current task. The robot is designed
to be a versatile research platform while containing the same hardware as its industry
counterpart, allowing research to translate into industrial applications (Rethink Robotics,
2015).
In general robotics artificial intelligence (AI) has been developed separately to robotics, but is
now starting to become integrated. Unfortunately current AI is fragmented as each application
focuses on one area, as opposed to making a true AI that thinks like a human (Bogue, 2014).
Current usable AI is more akin to ‘smart’ robotics where decisions are made and problems
solved by the robot in very specific applications. In industry, robots are expanding into areas
that require more flexibility allowing robots to fill many more positions in increasingly complex
areas (Hajduk, Jenčík, Jezný, & Vargovčík, 2013). Mobile robots are even becoming more
common place, allowing for dynamic and spread out workspaces. These are all due to adding
sensing and analysis to robots allowing them to react to dynamic environments.
To further robotics in industry, multi robot work cells have been designed that combine
several robots working on the same part while cooperatively performing either one task, such
as welding and the required handling, or multiple tasks at the same time (Hajduk, Jenčík, Jezný,
& Vargovčík, 2013). The number of activities these work cells can perform increases
Page 3 of 14
dramatically, as the complexity of the task or tasks can be higher while the robots don’t need
to be capable of performing the whole task individually.
For performing more human tasks, dual arm robots have begun to emerge (Hajduk, Jenčík,
Jezný, & Vargovčík, 2013.
The document discusses how manufacturers can develop strategies for human and robotic workers to collaborate effectively. It argues that to maximize productivity, these strategies need to incorporate design thinking, studies of human behavior, and partner ecosystems. The strategies should rethink workflows for how humans and robots can complement each other's strengths. This will allow manufacturers to gain unprecedented levels of productivity, innovation, and cost advantages from their human-robot workforces.
This document is a seminar report submitted by Chaudhari Rohit Chandrakant to the Department of Mechanical Engineering at R. C. Patel Institute of Technology Shirpur. The report discusses artificial intelligence and robotics, including definitions of both fields, their histories, types of robots, and applications of AI and robotics. The goal of AI and robotics is to design intelligent agents that can perceive, reason about, and act upon the world. Vision, manipulation, and locomotion are important areas of research.
In recent years, advancements in sensor and automation technologies have developed increasingly flexible, accurate, and affordable robotics solutions.
With the improved price / performance ratio, the adoption of next-generation robots will likely intensify in the coming years.
Robotics is rapidly transforming the way humans live and work, and will continue to grow due to the ongoing trend toward automation and continued innovative technical improvements in industrial robots. This report summarizes some important trends. It is an excerpt of our Detecon Radar.
The document describes a project that aims to develop an automated system for coordinating robots working in a swarm environment. The system uses image processing to identify nearby robots by scanning QR codes on each robot and adjusting schedules to avoid collisions without human intervention. It discusses modeling swarm robotics and compares it to other multi-agent systems. The goals are to enhance efficiency of swarms through automatic coordination and reduce human errors. Applications include defence operations, sensitive tasks requiring coordination, and medical fields.
Tools for the Future of the Digital Infrastructure Lifecycle - #COMIT2016Comit Projects Ltd
Presentation by Fran Rabuck (Rabuck Associates) at COMIT 2016: Digitally Building Britain, September 2016
More information: http://www.comit.org.uk/liveblog
Digital Leadership Interview : Jim lawton, Chief Product and Marketing Office...Capgemini
"Not only will our robots learn the job and complete the task, but they are using their algorithm to optimize the task assigned and make that job better."
The document summarizes several research projects being conducted at the University of Bridgeport. It begins with an introduction from the Vice President about increasing research activities and infrastructure at UB. Several specific projects are then highlighted, including developing modular robotic platforms, robotic swarm intelligence, and developing small aerial drones for military reconnaissance. It also discusses research on indigenous Cherokee medical practices using plants to treat cancer and HIV, as well as projects on sustainability and recycling electronics.
Case study 6 chapter 111. 2. Answer the Case Study Questions (.docxwendolynhalbert
This document discusses a case study on the increasing use of robots in manufacturing. It notes that robots are becoming more advanced, capable of working alongside humans without endangering them. They can assemble a variety of objects from aircraft engines to smartphones. However, robots still lack the flexibility and dexterity of humans. While they are good at repetitive tasks, they cannot adapt well or handle high levels of product customization like those demanded by Mercedes customers. As robots continue advancing, manufacturing jobs performed by humans will become more complex, requiring workers to supervise and program robots.
TestingTime - Guest Article - let’s save the world—democracy, inclusion and s...Jan Groenefeld
You are probably asking yourself: “As a UX designer, can I actually change the world?” Not by yourself – but you can make a positive contribution. The prerequisite is the interdisciplinary cooperation of specialists in operational ergonomics, product designers, developers, and some others. Find out the influence of technologies on our society, how we reduce reservations thanks to human-centred design, and how we use our tools optimally in the “Digital Designer” college to obtain a relationship between human beings and technology that has real added value. Let’s go!
Industrial robotics is entering a new era of adaptability and there’s a lot to keep up with for all engineers involved in their use, their programming, or their design. This webinar will address several critical areas that are undergoing rapid transformation, including sensing and perception, micro-robotics, and soft robotics.
This document discusses an artificial intelligence approach to robotics. It describes how AI can be used to give robots human-like intelligence and abilities. The document provides background on AI and robotics, discusses different types of AI, reviews the history and evolution of AI, and gives examples of how AI has been implemented in robots, including a simple Java program for a robot. It concludes that AI is powerful for robotics as it can automate devices to provide physical services and make robots more helpful and usable for humans.
AN EMOTIONAL MIMICKING HUMANOID BIPED ROBOT AND ITS QUANTUM ...butest
The document describes research on developing an emotional mimicking humanoid biped robot controlled using a quantum computing approach. The robot is able to mimic human gestures seen by a camera using a finite state machine. The researchers acquired two KHR-1 robots and integrated them into their robot theater system. They used OpenCV for computer vision and interfaced the robots with a state machine behavior controller. The researchers propose using the D-Wave quantum computer to help solve large constraint satisfaction problems needed for complex whole-body motion planning in real-time. This would allow the robot to exhibit a broader range of emotional behaviors and movements.
AN EMOTIONAL MIMICKING HUMANOID BIPED ROBOT AND ITS QUANTUM ...butest
This document summarizes research on developing an emotional mimicking humanoid biped robot controlled using a quantum computing approach. Key points include:
- The robot responds to human gestures seen by a camera using a finite state machine or constraints-satisfaction model linking vision, motion, emotions and planning.
- Quantum computing could quadratically speed up the constraints problems required for large-scale motion planning, emotions and behaviors, allowing real-time solutions.
- The researchers propose using the D-Wave Orion quantum computer to control a humanoid robot.
- They acquired two KHR-1 robots and integrated sensors, vision, speech and a robot programming language to develop the robot and research emotional robotics, robot
The document discusses Enterprise Integration (EI), a company that provides IT managed services and aims to significantly change the economic model of IT operations through automation and digital robotics. It describes EI's founding in 1998 to deliver high-quality onshore IT solutions. EI has since evolved by leveraging automation and digital robotics to streamline services, freeing up employees to perform more valuable work. The article highlights EI's people, facilities, tools, and visionary founder and CEO Michael Locher, who established EI to deliver reliable and affordable IT solutions through an onshore model.
ROBOT HUMAN INTERFACE FOR HOUSEKEEPER ROBOT WITH WIRELESS CAPABILITIESIJCNCJournal
This paper presents the design and implementation of a Human Interface for a housekeeper robot. It bases
on the idea of making the robot understand the human needs without making the human go through the
details of robots work, for example, the way that the robot implements the work or the method that the
robot uses to plan the path in order to reach the work area. The interface commands based on idioms of the
natural human language and designed in a manner that the user gives the robot several commands with
their execution date/time. As a result, the robot has a list of tasks to be doneon certain dates/times.
However, the robot performs the tasks assigned to it without any human intervention and then gives
feedback to the human about each task progress in a dedicated list. As well as, the user decides to get the
feedback either through the interface, through the wireless communication, or both of them. Hence, the
user’s presence not necessary during the robot tasks execution.
The Chatbots Are Coming: A Guide to Chatbots, AI and Conversational InterfacesTWG
2016 is the year of all things conversational. Chatbots, suddenly, are everywhere. Driven by the explosion in popularity of messaging apps like Kik, Slack and Facebook Messenger, chatbots are quickly becoming a core part of the software product mix.
So does your business need a chatbot? This deck will help you understand the massive opportunity for companies who are bold enough to start building chatbots of their own.
(Already au fait with chatbots and looking for a software team to help you with yours? Skip to slide 47 to see some of the chatbots we've built at TWG for our clients and ourselves.)
Computer technology is rapidly advancing and will transform how humans interact with machines over the next 20 years. Keyboards will become obsolete and be replaced by touchscreens, gesture recognition, speech recognition and other modes of more natural communication. Artificial intelligence capabilities will also increase dramatically through advances in machine learning and deep learning. Everyday technologies like vehicles may become fully autonomous. Nanobots, artificial human brains, flying taxis and pollution-free electric vehicles will start to emerge and change various aspects of life. Computer displays will move toward becoming flexible screens and even virtual or augmented reality glasses.
This document describes the design of an intelligent autonomous wheeled robot that uses RF transmission for communication. The robot has two modes - automatic mode where it can make its own decisions, and user control mode where a user can control it remotely. It is designed using a microcontroller and can perform tasks like object recognition using computer vision and color detection in MATLAB, as well as wall painting using pneumatic systems. The robot's movement is controlled by DC motors and it uses sensors like ultrasonic sensors and gas sensors to navigate autonomously. RF transmission allows communication between the robot and a remote control unit. The overall aim is to develop a low-cost robotic system for industrial applications like material handling.
Personalized Care Drives Medical Product Innovation_D2P_Feb15Mark Shortt
This document discusses the growing role of electronics, software, and connectivity in medical devices. It notes that computer control and software allow for customization and refinements through updates. Wireless technologies are also spreading to medical devices and fueling growth in mobile health markets like vital signs monitoring. The market for clinical medical devices is expected to surpass consumer devices by 2020 due to larger revenue streams from value-added software services. The document also discusses how startups are working on point-of-care diagnostic devices but need guidance on defining user needs, and how personalized care is driving innovation through mobile health devices that enable remote monitoring.
A Medical Device Manufacturer's Dream_D2P_March 2015Mark Shortt
Mayfield Plastics is a thermoforming company with over 40 years of experience manufacturing custom plastic parts for medical devices. They specialize in producing highly cosmetic parts through pressure forming to meet customers' strict quality and timeline requirements. Mayfield offers in-house engineering, design, tooling, and production capabilities to provide a turnkey solution from concept to market launch. Their experience working with major medical device companies and ability to take over full product development sets them apart from other thermoformers.
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This document is a seminar report submitted by Chaudhari Rohit Chandrakant to the Department of Mechanical Engineering at R. C. Patel Institute of Technology Shirpur. The report discusses artificial intelligence and robotics, including definitions of both fields, their histories, types of robots, and applications of AI and robotics. The goal of AI and robotics is to design intelligent agents that can perceive, reason about, and act upon the world. Vision, manipulation, and locomotion are important areas of research.
In recent years, advancements in sensor and automation technologies have developed increasingly flexible, accurate, and affordable robotics solutions.
With the improved price / performance ratio, the adoption of next-generation robots will likely intensify in the coming years.
Robotics is rapidly transforming the way humans live and work, and will continue to grow due to the ongoing trend toward automation and continued innovative technical improvements in industrial robots. This report summarizes some important trends. It is an excerpt of our Detecon Radar.
The document describes a project that aims to develop an automated system for coordinating robots working in a swarm environment. The system uses image processing to identify nearby robots by scanning QR codes on each robot and adjusting schedules to avoid collisions without human intervention. It discusses modeling swarm robotics and compares it to other multi-agent systems. The goals are to enhance efficiency of swarms through automatic coordination and reduce human errors. Applications include defence operations, sensitive tasks requiring coordination, and medical fields.
Tools for the Future of the Digital Infrastructure Lifecycle - #COMIT2016Comit Projects Ltd
Presentation by Fran Rabuck (Rabuck Associates) at COMIT 2016: Digitally Building Britain, September 2016
More information: http://www.comit.org.uk/liveblog
Digital Leadership Interview : Jim lawton, Chief Product and Marketing Office...Capgemini
"Not only will our robots learn the job and complete the task, but they are using their algorithm to optimize the task assigned and make that job better."
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Industrial robotics is entering a new era of adaptability and there’s a lot to keep up with for all engineers involved in their use, their programming, or their design. This webinar will address several critical areas that are undergoing rapid transformation, including sensing and perception, micro-robotics, and soft robotics.
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A New Reason to Rethink Offshoring (D2P, September 2013
1. 30
Momentum for reshoring had been steadily gaining
steam. But when Rethink Robotics unveiled its Bax-
ter robot last fall, it provided a powerful new boost
to efforts aimed at bringing manufacturing back to America.
Baxter, described by Rethink as “the world’s first humanoid
robot capable of applying common sense behavior to
manufacturing environments,” is a mobile, 165-pound
American-made robot—with a price tag under $30,000
and an array of user-friendly features—that’s designed
to make U.S. manufacturers more competitive against
regions that employ low-cost labor.
“Companies are just starting to use
the robot; it’s just beginning to
make it to manufacturing
lines right now,” said Mitch
Rosenberg, vice president
of marketing and product
management for Rethink
Robotics, a Boston-based startup
backed by Bezos Expeditions and the
venture capital firms Charles River Ventures,
Highland Capital Partners, Sigma Partners,
and Draper Fisher Jurvetson. “But I would say
the universal reaction is ‘We didn’t think this was
possible.’ That’s the most frequent comment I hear.
The universal reaction is that they’re really thrilled to
have them, they’re having a lot of fun, and they didn’t
think this was possible.”
Baxter is unlike traditional industrial
robots in a number of ways, beginning
with an unusually low price point that puts
it well within reach of small and mid-size
manufacturers. Designed to work safely
around people in a production setting
without safety caging, Baxter can perform
a wide range of simple, repetitive tasks—
including part and material handling,
machine tending, testing and sorting,
and light assembly—that have traditionally
been lost to overseas labor. Besides having an
unusually low base price of $22,000, Baxter
takes affordability to a new level by eliminating
the combined expenses of caging, integrating,
and programming a traditional industrial robot.
“Manufacturers tend to be risk averse, and
this price point makes it much more attractive
for them to take a flier on a new technology,” said
Rosenberg. “So many of them are saying, ‘Because of this price
point, this doesn’t feel risky at all.’ That’s a big factor.”
Baxter is based on the vision of Rethink’s founder and chief
technical officer, Rodney Brooks, the co-founder of iRobot and
former director of the MIT Computer Science and Intel-
ligence Lab. By breaking down the cost and safety barriers
that have long limited the use of automation in American
manufacturing, Baxter is said to “redefine how small, mid-
size, and large domestic manufacturers use automation
to compete with manufacturers in low-cost regions of the
world.” Its design is centered around the idea of mak-
ing what Rethink’s vice president of product
development, Elaine Chen, calls
“an incredibly inexpensive
robot” that balances cost with
performance (see “Building
Baxter in the U.S.,” page 20).
“We embraced Design
for Manufacturing and low-cost
manufacturing techniques very, very
early on in the design cycle,” Chen said in a
phone interview. “Consequently, all of the parts
that we have in the robot are mass producible us-
ing cost-effective manufacturing techniques, such as
die casting and injection molding. We don’t have any
high-cost manufacturing processes of any significance
in the robot. We’ve designed for a low-cost bill of ma-
terials and also low-cost manufacturing techniques.”
From a hardware standpoint, Chen said
that Baxter is different from other industrial
robots in that it’s a low- payload robot that’s
very safe to be working side-by-side with
people. “We’ve got load-level algorithms to
detect forces at every joint,” she noted. “If
somebody actually gets in the way of the
robot arm while it’s moving, the robot arm
would detect that and stop immediately.”
Chen often demonstrates this capability
in her tradeshow demos. “I’ll let it get going,
and then I’ll kind of stick my head in the way
of the elbow, and it will just stop immediately;
it wouldn’t hurt. So that’s pretty innovative. We
don’t know anybody else whose robot has such
a sensitive force sensing threshold for people
detection.”
Brooks, in a statement accompanying Bax-
ter’s launch, noted that roboticists have had
INNOVATION
A New Reason to Rethink Offshoring
A low-cost, easy-to-train robot that’s safe to work with people is designed to make American
manufacturers more competitive with low-cost regions
By Mark Shortt
Not just a pretty face: Suited for
manufacturers of all sizes, the
Baxter robot from Rethink Robotics
offers an intuitive user interface and
vision-guided movement and object
detection. Capabilities also include
360 degree sonar and front camera
for human presence detection. Photo
courtesy of Rethink Robotics.
2. 31September 2013 • www.d2pmagazine.com
previous successes in designing robots that can operate with
super-human speed and precision. “What’s proven more difficult
is inventing robots that can act as we do—in other words, that are
able to inherently understand and adapt to their environments,”
he said. “We believed that if we could cross that chasm with the
manufacturing environment specifically in mind, we could offer
new hope to the millions of American manufacturers who are
looking for innovative ways to compete in our global economy.”
One of Baxter’s unique capabilities is its ability to apply
common sense to its environment. If Baxter drops an object, for
example, it knows to get another before trying to finish the task.
“‘Common sense’ means that the robot does what you expect,
and signals to you what it’s going to do, so it interacts with you in
a way that’s already familiar,” said Rosenberg. “You don’t have to
learn how to interact with this robot. If you, for example, are ask-
ing the robot to pick up items off of a conveyor belt that’s running
a certain speed, and then you increase the speed of the conveyor
by 20 percent, with a traditional robot, you’d have to reprogram
for the new speed. You’d have to explain to the robot—using
software and signals—that it had changed. With our system, just
like with another human being, the robot automatically detects
that things are going faster. Moreover, it automatically changes
the way it guides its arm to pick up that item on the conveyor,
exactly as your common sense would tell you a person would do
it. That’s what we mean by common sense: It means that you
don’t have to think of every detail that the robot has to know; the
robot automatically adapts its behavior the way a human would.”
A driving force behind the development of Baxter has been
to distinguish it from previous robots that were all about speed
and precision, by building, instead, a new type of robot that’s
more about the ability to sense and adapt to its environment.
“What that means is that our robot can work in a very un-
structured environment,” said Chen. “You don’t have to always
present the part in the same place. So, just as a human might not
actually present a part to another human always in the same spot,
the robot can actually use its vision to find the part and pick it
up, even if it’s a couple of inches to the left of where it showed
up the last time.”
Along with various sensors, sonar, and cameras, software is
crucial to the development of Baxter’s unique capabilities. Re-
think’s product strategy involves introducing a solid hardware
platform, and then continually adding value to it by releasing
frequent software updates. The company is currently working on
a software development kit (SDK) for the manufacturing robot,
but it has not been released for public use. In April, Rethink
released its first feature update for its research robot, enabling
users to customize the robot for specific types of work.
“With a very simple procedure, users can download the up-
dater, update the software on the robot, and get a whole range of
new functionality that enables them to do much more complex
tasks,” said Chen. “That’s our strategy moving forward. We will
have a steady cadence of new capabilities that bring some benefits
to customers through regular software updates.”
If this sounds familiar, there’s good reason: It’s exactly what
the PC industry pioneered, and is now a fact of life with cell
phones and other mobile devices. Rethink’s innovation is to ap-
ply the strategy to an industrial product.
“We believe that that’s really new and particularly valuable
for our industrial product,” said Rosenberg. “One of our moti-
vations for offering the Baxter research robot is the idea that if
researchers—both in industry and in academia—come up with
nifty new applications for the robot, or nifty new ways to do
things, we’d like there to be an ecosystem for taking advantage
of that software. They can sell it on the open market or let us
license it back from them, so that just like PCs and cell phones,
the devices become more and more valuable over time, rather
than depreciated and less valuable over time, the way traditional
hardware based products are.”
Rosenberg said that interest in Baxter is such that “plenty of
corporate researchers” are buying the robot and using it, even
without the ability to write unique application code for it. “It’s
really excited the imaginations of folks in both the manufactur-
ing lines and the manufacturing labs,” he said. But Rethink’s
strategy of opening up the development of the software to users
reflects its growing recognition that the sky is the limit for future
applications.
“We’ve chosen to focus our efforts on making a robot prod-
uct that will help small and medium size businesses succeed in
bringing manufacturing back to America,” said Chen. “That’s our
mission. But we also realize, in creating the hardware platform,
that this is a very general-purpose humanoid robot that can do
a lot of other things. We have a lot of inquiries from people that
are interested in using this robot for other verticals, like elder
care and assisted living. So we thought the research SDK would
be a good way for other people to explore those verticals.”
Manufacturing environments, in the meantime, are loaded
with possibilities, including pick and place tasks, light assembly,
material handling, machine tending, testing and sorting, and—
eventually—finishing operations. “We’re seeing a number of, not
just customers, but increased interest around packaging,” said Sue
Sokoloski, Rethink’s director of marketing, at a product demo
on the floor of the ATX East Automation Technology Expo in
June. “Packaging seems to be a point of previously un-automated
jobs. We’re seeing a lot of interest in the ‘end of the production
line’ type of jobs.”
“They want parts handled, but you don’t need a computer sci-
ence person to reprogram the robot on the line every few days,”
said Anthony Robson, Rethink’s product manager, also at ATX
East. “That’s Baxter’s sweet spot right now.”
“Baxter is great at pick and place,” added Rosenberg. “It can
pick from one surface and put it in another; it can pick out of
a bag and put it on a conveyor or vice versa. We just recently re-
leased software to the marketplace that allows Baxter to interface
to other machines. There are plenty of machines, obviously, in
the manufacturing environment that can exchange signals so
that they can sequence operations in an intelligent way, accept
inputs from other sensors, et cetera. So that’s another set of ap-
plications that we’re pursuing.
“We’re also very excited about the idea of using Baxter to
tend other machines,” he added. “You can imagine that there
are human beings that do repetitive motion every day, just push-
ing the button on a polishing machine, for example, to make
that machine go on. That’s an example of machine tending that
requires some level of intelligence that is really not worthy of hav-
ing a human being perform it, and it’s something Baxter could
be very perfectly suited to. Eventually, we could imagine Baxter
doing more physically demanding tasks, like finishing operations,
like polishing or sanding surfaces, but that’s not something that
we’re releasing right now. The simple summary is that there
are a wide variety of manufacturing tasks that aren’t necessarily
3. 32 DESIGN-2-PART magazine • September 2013
assembly, but require a lot of time and a lot of money and a lot
of footprint in the factory, that Baxter could do very, very well.”
Many of these processes have been difficult, if not impossible,
to cost-effectively automate in the past. Not only do traditional
robots themselves carry price tags often exceeding six figures,
but, unlike Baxter, they need to be programmed—a task that can
take several months. After coming up with an idea to automate
a production line, it could take up to nine months and several
hundred thousand dollars before a traditional robot is actually
ready to do something productive on that line, according to Chen.
“That only works when you have a product line that’s got
a stable enough product going through it that it’s going to go
long enough to make it worthwhile,” she said. “The product
also has to be high value enough to have the market to support
that. Whereas, our robot is different in that basically, you do not
program it; there’s no integration necessary.
“Our vision is very much around having machine operators
working on the manufacturing floor be able to go up to the
robot and grab one of its hands and show it what it needs to do
by demonstration,” she continued. “So how we train the robot
to do that is entirely an integrated user experience—using the
screen on the head, and the buttons, cups, and knobs that are
on the arm and on the torso. There’s no programming at all in
the manufacturing use case, and anybody can go up and teach
the robot how to do something new in a matter of minutes to a
maximum of a couple of hours. So then suddenly, some of the
work that never would have been cost-effective to automate using
the traditional way—something like a short run project with only
10,000 parts, for example, and you’re due to be done with that
project after two weeks—could be automated using this robot.”
Many small and medium-size manufacturers, which often have
less capital and do more of the short run operations that Chen
described, are taking notice. Sokoloski said that the company
doesn’t disclose the number of manufacturers that are currently
using Baxter, but that it’s currently “in the hundreds.” Baxter’s
affordable price tag and the fact that it doesn’t require expensive
programming are enabling many of these companies to automate
for the first time and, as a result, compete directly with overseas
manufacturers.
Rethink is not only making a robot designed to keep produc-
tion from migrating overseas; it’s also “putting its manufacturing
where its mouth is” by building Baxter in the United States. More
Designed to work safely around people, Baxter can perform a number of
different factory operations, including pick and place, part and material
handling, testing and sorting, machine tending, packing and unpacking,
and light assembly, among others. Photo courtesy of Rethink Robotics.
than 75 percent of the value of the robot is made in America.
“It starts with our original vision for the purpose of the com-
pany,” said Rosenberg. “Our founder, Rod Brooks, felt that there
was no reason at all why America should lose its manufacturing
base given our level of skill and innovation, and his idea was to
create an innovation that made it possible for manufacturing to
take place economically in the United States. You may be familiar
with the term ‘reshoring.’ The idea that we would be actively
advocating this kind of change in the American economy while
simultaneously contributing to the opposite trend didn’t seem
to have integrity. So that was the first reason why we decided it
was important to be made in America.
“As the marketing guy, I can tell you that this is a universally
applauded attribute of the product from the point of view of
customers and distributors,” he added. “There is so much enthu-
siasm in this country for being a serious player in manufacturing
again, and they love the idea that they can, in fact, do that while
automating with an American-made robot.”
“From a technical standpoint, I can tell you there are extreme
benefits to keeping innovation very close to manufacturing,”
Chen added. “Our contract manufacturer is within driving dis-
tance of headquarters, and that has made the process of actually
bringing up the manufacturing line so much better. We’re able
to go up there every other day if necessary. If any issues come up,
we can go there immediately. Having manufacturing close to in-
novation is really, really key to our successful journey in bringing
up a manufacturing line and producing a quality product within
a very short period of time. I don’t think we could have possibly
done that, even if it was in Mexico. I don’t think we could have
done that.”
Another reason for making the robot in America, Rosenberg
added, is that Baxter represents “a huge amount” of intellectual
property. “Many elements of it have never really been done be-
fore, and we want to protect that intellectual property by making
sure it doesn’t get copied and knocked off and manufactured
by others,” he said. “So there are internal strategic reasons, in
addition to market reasons, technical speed to market reasons,
and general positive feelings about Made in America. There are
reasons that are across the spectrum of business purposes [for
making the robot in America].”
WhattypeoffeedbackhasRethinkbeengettingfromcompanies
that have used the robot so far?
Anthony Robson, product manager for Rethink, spoke with
D2P on the floor of the ATX East Automation Technology Expo
in June. He said that feedback on Baxter has been phenom-
enal. “They love it—the fact that in a couple of hours, they can
be Baxter experts and understand how to use it in different
ways,” Robson said. “I think Baxter resonates with people in the
manufacturing environment. I’ve had people say, ‘I don’t even
know if I have an application,’ and they’ve bought one anyway.
They buy into the mission of Rethink Robotics and are willing
to buy one on spec, just in anticipation that they’ll find a way
to use it because they identify with what we’re trying to do.”
“I think the most telling is that we’ll ship out a Baxter and
we’ll say that we’ll be on site the next day to set it up with you,
and before you get there, it’s like a kid on Christmas,” said
Sokoloski. “They’ve already unpacked it, put it on its pedestal,
figured it out, and they’re already getting it to work well before
we show up. I think that’s the greatest testament to the robot.
They’ve already figured it out, and we haven’t even landed on
site yet.”