Collaborative robots allow humans and robots to work together in a shared workspace. They are designed to be safe through features like lightweight materials, sensitive sensors to detect contact, and safety-rated control schemes. Regulations like the ISO 10218 and ISO/TS 15066 standards define requirements for speed and separation monitoring as well as power and force limiting to ensure collaborative robots can safely interact with humans. Current applications are mostly in traditional factory settings for tasks like machine tending, assembly, and quality inspection, but research continues in areas like full-body compliance, grasping, and human-aware planning to expand collaborative robot capabilities.
Jong-Oh Park
Medical Microrobot Center [MRC] Robot Research Initiative [RRI] Chonnam National Univ
Korean Robot History
2010
Export of Surveillance and Security Robots
Establishment of 2014 the 2nd Master Plan
for Intelligent Robots
2003
Designation of Robots as a Next-generation Growth Engine
2008
Enactment of Intelligent Robot Act
1978
Introduction of Korea’s First Robot
1981
Localization of Robot Manufacturing
2006
Development of
Cleaning Robot 2009
Establishment of the 1st Master Plan for Intelligent Robots
www.korearobot.or.kr
1
A Real-Time Interface for Xcos – an illustrative demonstration using a batter...Scilab
As part of an EU-founded research project, the Scilab based development tool LoRra (Low-Cost Rapid Control Prototyping Platform) was created. This allows the realization of the continuously model based and highly automated Rapid Control Prototyping (RCP) design process for embedded software within the Scilab / Xcos environment (cf. Figure 1). Based on the application battery management system (BMS), this paper presents a Real-Time interface for Scilab.
X2C -a tool for model-based control development and automated code generation...Scilab
Peter Dirnberger, Stefan Fragner
Nowadays, the market demands compact, stable, easy maintain-and customizable embedded systems. To meet these requirements, afast, simple and reliable implementation of control algorithms is crucial. This paper demonstrateshow model-based design with the help of Scilab/Xcosand X2C, developed by LCM,simplifiesand speedsup the development and implementation of controlalgorithms. As an example, acontrol schemefor a bearingless motoris presented.
Jong-Oh Park
Medical Microrobot Center [MRC] Robot Research Initiative [RRI] Chonnam National Univ
Korean Robot History
2010
Export of Surveillance and Security Robots
Establishment of 2014 the 2nd Master Plan
for Intelligent Robots
2003
Designation of Robots as a Next-generation Growth Engine
2008
Enactment of Intelligent Robot Act
1978
Introduction of Korea’s First Robot
1981
Localization of Robot Manufacturing
2006
Development of
Cleaning Robot 2009
Establishment of the 1st Master Plan for Intelligent Robots
www.korearobot.or.kr
1
A Real-Time Interface for Xcos – an illustrative demonstration using a batter...Scilab
As part of an EU-founded research project, the Scilab based development tool LoRra (Low-Cost Rapid Control Prototyping Platform) was created. This allows the realization of the continuously model based and highly automated Rapid Control Prototyping (RCP) design process for embedded software within the Scilab / Xcos environment (cf. Figure 1). Based on the application battery management system (BMS), this paper presents a Real-Time interface for Scilab.
X2C -a tool for model-based control development and automated code generation...Scilab
Peter Dirnberger, Stefan Fragner
Nowadays, the market demands compact, stable, easy maintain-and customizable embedded systems. To meet these requirements, afast, simple and reliable implementation of control algorithms is crucial. This paper demonstrateshow model-based design with the help of Scilab/Xcosand X2C, developed by LCM,simplifiesand speedsup the development and implementation of controlalgorithms. As an example, acontrol schemefor a bearingless motoris presented.
Why electric vehicles need model-based design?
Because of the rising complexity in new vehicles, model-based design & systems engineering is needed to cascade the requirements and trace back any modification along the engineering lifecycle. Find out more in this presentation of a customer case about electric motor optimization.
Faster Time to Market using Scilab/XCOS/X2C for motor control algorithm devel...Scilab
Rapid Prototyping becomes very popular for faster algorithm development. With a graphical representation of the algorithm and the possibility to simulate complete designs, engineers can help to reduce the time to market. A tight integration with MPLAB-X IDE allows the combination with standard C-coding to easily get mass production code. This solution was used to optimise a sensorless field oriented controlled PMSM motor driven pump efficiency. A model for closed loop simulation was developed using X2C blocks [1][2] for the FOC algorithm based on the existing application note AN1292 [3]. Enhancements to the original version were implemented and verified with simulation. The X2C Communicator was used to generate code of the new algorithm. With the online debugging capabilities and the scope functionality the algorithm was further tuned and optimized to achieve the highest possible efficiency of the pump.
Aircraft Simulation Model and Flight Control Laws Design Using Scilab and XCosScilab
The increasing demand in the aerospace industry for safety and performance has been requiring even more resourceful flight control laws in all market segments, since the airliners until the newest flying cars. The de facto standard for flight control laws design makes extensive use of tools supporting numerical computing and dynamic systems visual modeling, such that Scilab and XCos can nicely suit this kind of development.
IoH Technologies into Indoor Manufacturing SitesKurata Takeshi
AMPS 2019
Session: Smart Factory and IOT Location
Chair: Thorsten Wuest
This paper focuses on introducing measurement technologies into manufactur-ing sites regarding the worker-oriented part of 6M, which consists of Man, Ma-chine, Material, Method, Mother Nature, and Money. First, we introduce in-door positioning and work motion recognition systems that we have developed as key components of Internet of Humans (IoH) technologies. Next, we briefly report on two case examples of manufacturing sites where worker behavior measurement, analysis, and visualization are promoted. Then, we conclude this paper with discussion about the costs and benefits on the introduction of indoor positioning technologies into manufacturing sites.
This industrial patent proposes an apparently simple geometry (a degree of freedom) capable of arching by moving the center of instantaneous rotation of the end effector as a function of the input angle.
Industrial Robots are changing and this presentation leads the user to the tools to control the hazards of collaborative and non-collaborative robotics.
Why electric vehicles need model-based design?
Because of the rising complexity in new vehicles, model-based design & systems engineering is needed to cascade the requirements and trace back any modification along the engineering lifecycle. Find out more in this presentation of a customer case about electric motor optimization.
Faster Time to Market using Scilab/XCOS/X2C for motor control algorithm devel...Scilab
Rapid Prototyping becomes very popular for faster algorithm development. With a graphical representation of the algorithm and the possibility to simulate complete designs, engineers can help to reduce the time to market. A tight integration with MPLAB-X IDE allows the combination with standard C-coding to easily get mass production code. This solution was used to optimise a sensorless field oriented controlled PMSM motor driven pump efficiency. A model for closed loop simulation was developed using X2C blocks [1][2] for the FOC algorithm based on the existing application note AN1292 [3]. Enhancements to the original version were implemented and verified with simulation. The X2C Communicator was used to generate code of the new algorithm. With the online debugging capabilities and the scope functionality the algorithm was further tuned and optimized to achieve the highest possible efficiency of the pump.
Aircraft Simulation Model and Flight Control Laws Design Using Scilab and XCosScilab
The increasing demand in the aerospace industry for safety and performance has been requiring even more resourceful flight control laws in all market segments, since the airliners until the newest flying cars. The de facto standard for flight control laws design makes extensive use of tools supporting numerical computing and dynamic systems visual modeling, such that Scilab and XCos can nicely suit this kind of development.
IoH Technologies into Indoor Manufacturing SitesKurata Takeshi
AMPS 2019
Session: Smart Factory and IOT Location
Chair: Thorsten Wuest
This paper focuses on introducing measurement technologies into manufactur-ing sites regarding the worker-oriented part of 6M, which consists of Man, Ma-chine, Material, Method, Mother Nature, and Money. First, we introduce in-door positioning and work motion recognition systems that we have developed as key components of Internet of Humans (IoH) technologies. Next, we briefly report on two case examples of manufacturing sites where worker behavior measurement, analysis, and visualization are promoted. Then, we conclude this paper with discussion about the costs and benefits on the introduction of indoor positioning technologies into manufacturing sites.
This industrial patent proposes an apparently simple geometry (a degree of freedom) capable of arching by moving the center of instantaneous rotation of the end effector as a function of the input angle.
Industrial Robots are changing and this presentation leads the user to the tools to control the hazards of collaborative and non-collaborative robotics.
Join an expert panel put together by the Design World editorial team to examine the latest developments and challenges in the ever-changing field of robotics. We’ll learn about Clearpath Robotics’ unmanned vehicles, used for research and development, and what design challenges they faced in developing their products. Panelists will discuss what some of the best practices are for engineers involved in the design of robotics. We’ll also talk about safety issues in robotics and why ease of use of industrial robots is becoming more important. And we’ll examine what’s driving robotics technology today, as well as where the field is going in the coming years.
Robotics - Mainstream or Marginal for Process Industries?Yokogawa1
Whereas robotics have been crucial to factory and warehouse automation for decades, the technology in process industry applications continues to be relatively new and emerging. Savvy operators are realizing the value of robotics in enhancing process safety and efficiency in daily operation and maintenance activities. Robots are performing operator runs in hazardous areas and drones have been deployed on inspections routes in difficult-to-access locations across process complexes. Yet, process operators still face many challenges when it comes to widely adopting robots. How can users integrate robotics into existing operations, control systems and standard operating procedures? Can they use the data collected from robots and combine it with artificial intelligence to provide actionable knowledge? Where do robotics reside on the digital transformation roadmap that ultimately leads to autonomous operations? In this session, participants will learn about Yokogawa's robotics vision, which steps beyond Industry 4.0 and digital transformation to achieve industrial autonomy.
Requirement:HW6 Problem 2 Design a mobile robot capa.docxaudeleypearl
Requirement:
HW6 Problem 2
Design a mobile robot capable of moving indoors, climbing stairs, and performing useful tasks like cleaning. Proceed as follows: First, using a structured process, develop 4-6 alternative design concepts. Then, using an appropriate utility function, assess and compare these designs to select the “best” alternative for further development
Question Definition:
Trying to come up with various options towards the design of mobile robots, which will be capable of moving indoors, climbing stairs, and functioning important tasks e.g., cleaning.
Plan:
1. Designing a mobile robot
2. Development of various alternatives through the following processes
a. A FAST diagram
b. A Functional Structure
c. Getting necessary consumer requirements
d. Identification of multiple designs and comparing them
Execution:
1. Design: A mobile robot capable of moving indoors, climbing stairs and performing useful tasks like cleaning.
2. Development
a. FAST diagram of a mobile robot
b. A Functional Structure
c. Customer Requirements
i. Has the movement of the robot from one location to another – mobility (actuators)
ii. Effective in performing the cleaning duties – efficient in cleaning (end effectors)
iii. Easy to move the robot from one location to another – portability
iv. Ability to climb up or down a staircase – efficient in climbing (end effectors)
d. Basic design concepts of the mobile robot
Element
Concept 1
2
3
4
Sensors
Temperature
Distance
Proximity
Tilt
Movement/ locomotion
Ball
Omni
Legs
Standard wheels
Ability to clean (End Effector)
Brush
Broom
Vacuum Cleaner
Steam mop
Ability to avoid obstacles
Ultrasonic sensors
Proximity sensors
IR sensors
Head Detectors
Actuators
Electrical
Hydraulic
Pneumatic
Pressurized
e. Alternative designs(Note: the bolded features applying to every concept are in bold)
i. Alternative 1
Element
1
2
3
4
Sensors
Temperature
Distance
Proximity
Tilt
Movement/ locomotion
Ball
Omni
Legs
Standard wheels
Ability to clean (End Effector)
Brush
Broom
Vacuum Cleaner
Steam mop
Ability to avoid obstacles
Ultrasonic sensors
Proximity sensors
IR sensors
Head Detectors
Actuators
Electrical
Hydraulic
Pneumatic
Pressurized
ii. Alternative 2
Element
1
2
3
4
Sensors
Temperature
Distance
Proximity
Tilt
Movement/ locomotion
Ball
Omni
Legs
Standard wheels
Ability to clean (End Effector)
Brush
Broom
Vacuum Cleaner
Steam mop
Ability to avoid obstacles
Ultrasonic sensors
Proximity sensors
IR sensors
Head Detectors
Actuators
Electrical
Hydraulic
Pneumatic
Pressurized
iii. Alternative 3
Element
1
2
3
4
Sensors
Temperature
Distance
Proximity
Tilt
Movement/ locomotion
Ball
Omni
Legs
Standard wheels
Ability to clean (End Effector)
Brush
Broom
Vacuum Cleaner
Steam mop
Ability to avoid obstacles
Ultrasonic sensors
Proximity sensors
IR sensors
Head Detectors
Actuators
Electrical
Hydraulic
Pneumatic
Pressurized
iv. Alternative 4
Element
1
2
3
4
Sensors
Temperature
Distance
Proximity
Tilt
Movement/ locomotion
Ball
Omni
...
UL's guide to differentiate your wearables from competitionCSA Group
UL offers a complete range of testing services for wearable technology products, and has a comprehensive knowledge of the regulatory approval process in key target markets. In addition, UL can provide specialized testing services, including energy efficiency testing and certification, product performance testing and product reliability testing. UL can also support quality and safety initiatives across global supply chains through product inspections and factory audits.
For additional information about UL’s services for wearable technology products, contact wearables@ul.com, ul.com/wearables.
Robotic Soldier with EM Gun using Bluetooth Moduleijceronline
Need for security is growing day by day due to enormous development in the field of technology, but man wants to achieve this security at the minimum cost and minimum risk to human life. This is the factor which has encouraged us to develop this project which can achieve security at minimum risk to human life and at minimum cost. Here instead of exposing the soldier to do the hazardous job such as dangerous gas or hostile environment detection we have designed a machine which will do the same job more efficiently. This robot will be self-sufficient to sense the temperature of surrounding, and detecting if any obstacles are there at a certain distance depends on that robot guiding itself using the efficient algorithms and proper sensors.
Robotic Soldier with EM Gun using Bluetooth Moduleijceronline
Need for security is growing day by day due to enormous development in the field of technology, but man wants to achieve this security at the minimum cost and minimum risk to human life. This is the factor which has encouraged us to develop this project which can achieve security at minimum risk to human life and at minimum cost. Here instead of exposing the soldier to do the hazardous job such as dangerous gas or hostile environment detection we have designed a machine which will do the same job more efficiently. This robot will be self-sufficient to sense the temperature of surrounding, and detecting if any obstacles are there at a certain distance depends on that robot guiding itself using the efficient algorithms and proper sensors.
Research Seminar on Cobots by Aleligne Yohannes Shiferaw.[M,Tech Robotics @ Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology.(India, Tamil Nadu, chennai)
Similar to [Skolkovo Robotics V] Collaborative Robots: Research, Technologies and Applications (20)
International Federation of Robotics, Gudrun Litzenberger
General Secretary
International Federation of Robotics IFR Germany
Email: gl@ifr.org
https://ifr.org/
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
2. Collaborative Robots
The concept of humans and robots to
work hand-in-hand is not new
ISO 10218 defines Collaboration as:
“State in which a purposely designed
robot works in direct cooperation with
a human within a defined workspace”
Safety First !
however:
Recent advances in robot research and
technology enable versatile applications
based on this machine concept
3. Collaborative Robots
(near future) perspective for
robotics in industrial production:
Humans and Robots share
Workspace
Precise, supportive
Reliable and flexible
Constant quality
Perceive their environment:
intelligent, sensitive
and
SAFE & SECURE
Images: courtesy of Skoda, Bosch
4. Collaborative Robots
Collaboration – let’s be more specific:
ISO standard defines 4 collaboration
concepts
Safety rated monitored stop
Hand-guiding
Speed and separation monitoring
Power and force limiting
From the user’s perspective we have
Human-robot co-existence
Human-robot cooperation
Human-robot collaboration
but also: robot-robot collaboration
5. Collaborative Robots
Technologies
Lightweight Robots
reduced mass = reduced kinetic energy
Sensitive Robots
Sensors to detect contacts (not just at
the tool) and act accordingly
Safety-rated (function & reliability)
Sensors
Actuators
Control-schemes
Tools / Grippers
6. Collaborative Robots
Technologies
finally arrived:
Safe Gripping
Never cause injuries
Detect human contact
Never loose the workpiece
coming soon:
Mobile manipulation
Mobile platform + sensitive robot arm
Still 2DO: compliant whole body control
Images: courtesy of Schunk, JR
9. Collaborative Robots
Regulations & Standards for Safety
A robot may not injure a human being or,
through inaction, allow a human being to
come to harm – I. Asimov
Industrial robot systems operate according to:
ISO 10218: Robots and robotic devices: Safety
requirements for industrial robots
ISO/TS 15066: Robots and robotic devices:
Collaborative Robots
ISO 13849 or IEC 62061: Safety of machinery: Safety-
rated parts of control systems
IEC 61508: Functional Safety
ISO 12100: Risk Analysis
2006/42/EC: Machinery Directive
…
10. Collaborative Robots
Regulations & Standards
Safe Collaboration through Speed and
Separation Monitoring (ISO 10218-1/5.10.4 & ISO/TS 15066)
Risk mitigation through a ensuring a
sufficiently large separation
Static regions / dynamic distances
Distances according to risk analysis that
takes into account: robot, tool, workpiece
and task
Safety-rated monitored stop in case of
violation (reaction-time & stopping-time!)
Requires safety-enabled hard- and software
for robot, distance and speed monitoring
11. Collaborative Robots
Regulations & Standards
Safe Collaboration through Power and
Force Limiting (ISO 10218-1/5.10.5 & ISO/TS 15066)
Risk mitigation though limiting the
mechanical impact
Considers robot, tool, workpiece and task
Considers foreseeable transient and quasi-
static contact situations (risk analysis)
Protective stop in case limits are exceeded
Realization though speed reduction, reduced
masses, limited torques, specific geometry
and padding, inherently safe actuators,
inherently safe control schemes, workplace
ergonomics …
12. Collaborative Robots
Research
Many aspects of collaborative robotics are
still subject to research:
Mechanisms
Full-body compliance
Sensitive robot skin
Safety-rated perception
Grasping, esp. tactile grasping
Safe task planning under uncertainty
Human-aware planning and control
Human-machine interfaces
Cognition
Robot Safety & Cyber Security
…
13. Collaborative Robots
Applications
Currently, many applications in traditional
production settings
Machine tending
Intralogistics
Dispensing, gluing
Assembly
Quality inspection
Support & guidance
Crux of collaborative robots:
safety requirements impose reduced speed,
forces, etc.
cost of additional safety-enabled components
and additional engineering and certification
effort
Images: courtesy of Fanuc, Universal Robots, KUKA
14. Collaborative Robots
Applications
Majority of deployed applications (as of 04/17):
Human-robot coexistence
Classic industrial robotics aims at 3d
applications (dull, dangerous & dirty)
Collaborative robotics deals mostly with dull
applications and aims to improve workplace
ergonomics
Robotic manipulation facilitates integrated
process/quality control
Innovation for i4.0 readiness
but at the end: it has to be cost effective!
Images: courtesy of Fanuc, Universal Robots, KUKA
15. Collaborative Robots
Perspectives
Utilize machine capabilities to innovate production processes
Ensure safety and use its constraints it to optimize applications
Use applied AI to obtain a robot with awareness & flexibility
Collaborative robots are game changer, so you should not use them
in traditional ways only – envision new applications!
16. 16
JOANNEUM RESEARCH
Forschungsgesellschaft mbH
ROBOTICS – Institute for Robotics &
Mechatronics
Lakeside B08a, EG
9020 Klagenfurt am Wörthersee
Austria
Tel.: +43 316 876-2000
Fax.: +43 316 876-2010
robotics-office@joanneum.at
www.joanneum.at/robotics