Artificial intelligence (AI) is intelligence exhibited by machines. In computer science, the field of AI research defines itself as the study of "intelligent agents".
Robotics is the interdisciplinary branch of engineering and science that includes mechanical engineering, electrical engineering, computer science, and others. Robotics deals with the design, construction, operation, and use of robots,[1] as well as computer systems for their control, sensory feedback, and information processing.
Information about robotics, types of robotics, objectives, what is actuators, traditional vs robotics, technologies, interaction, social robots, applications of Robots, Advantages of robotics, disadvantages of robotics, difference between robotic system and other artificial intellegence technologies
How can FIWARE and Standardised Context Data Management create synergies between Robotic Systems and other Smart Solutions. How to integrate Real-Time Operating System (ROS) with FIWARE Orion Context Broker.
● What is a Robotic System?
● How to get/put context data out from/into robotic systems?
Artificial intelligence (AI) is intelligence exhibited by machines. In computer science, the field of AI research defines itself as the study of "intelligent agents".
Robotics is the interdisciplinary branch of engineering and science that includes mechanical engineering, electrical engineering, computer science, and others. Robotics deals with the design, construction, operation, and use of robots,[1] as well as computer systems for their control, sensory feedback, and information processing.
Information about robotics, types of robotics, objectives, what is actuators, traditional vs robotics, technologies, interaction, social robots, applications of Robots, Advantages of robotics, disadvantages of robotics, difference between robotic system and other artificial intellegence technologies
How can FIWARE and Standardised Context Data Management create synergies between Robotic Systems and other Smart Solutions. How to integrate Real-Time Operating System (ROS) with FIWARE Orion Context Broker.
● What is a Robotic System?
● How to get/put context data out from/into robotic systems?
Material Handling Robot For Smart Manufacturing in Industriesdbpublications
Abstract—Material Handling Robo’s are mechanically controlled devices designed to replicate the movement of a human arm. The devices are used for lifting heavy objects and carrying out tasks that require extreme concentration and expert accuracy.In this highly developing society; time and man power are critical constrains for completion of task in large scales. the automation is playing important role to save human efforts in most of the regular and frequently carried works e.g. most of the industrial jobs like welding, painting, assembly, container filling etc. one of the major and most commonly performed work is picking and placing of jobs from source to destination. For this purpose, We intend to design a prototype based robo using pick and place mechanism.Material Selection is done using RFID Technology.The Material Handling Robot is a microcontroller based mechatronic system that detects the object based on the instruction given by the RFID Reader, picks that object automatically from source location and places at desired location.A mechanical gripper is robotic, usually programmable, with similar functions to a human arm.Thus designing a Material Handling Robo most often can be used for industrial and nonindustrial purposes.
Cisco data analytics in ioe_rajiv niles_2015 novCiscoKorea
시스코가 소개하는 만물인터넷 시대의 데이터 애널리틱스의 가치!
슬라이드에 대한 자세한 발표 내용은 시스코 코리아 공식 블로그(www.ciscokrblog.com/768) 나 네트워크 사이트(http://apjc.thecisconetwork.com/site/content/lang/ko/id/4537) 확인해 보실 수 있습니다.
Generally, various risky tasks or certain difficult operations cannot be done completely by humans and thus there is need for change in present era. As robots play vital roles in different fields of industries, medical, colleges, home appliances, military and defence, thus robots can be good and effective option for such difficult purposes. The proposed work is to develop an all terrain robot prototype. The robots which are presently in the market works on simple terrains while this project claims to make a prototype which can work on plain surfaces as well as rough surfaces such as forests, hilly and rocky areas. This project presents a offensive and defensive robot which uses different technologies like Arduino, Android Application, Bluetooth module and Laser Module. It develops a low voltage power supply, low cost and wireless robot prototype which is controlled using microcontroller and android application. Dr. M. Sampath Kumar | Anchal Mohanty | Meghana Beesu | E. Sai Kiran ""All Terrain Offensive and Defensive Robot"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23370.pdf
Paper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/23370/all-terrain-offensive-and-defensive-robot/dr-m-sampath-kumar
Artificial Intelligence (AI) has been a topic of research since the term was first coined by John McCarthy in 1956. In the last six decades, development of AI has experienced an uneven ride. Recently, the successful application of deep learning in Google AlphaGo triggered a wave of revolutionary advances in AI.
Robotics and AI have developed as inseparable twins. This presentation will briefly trace the history of the relationship between the two, survey various types of robots, and identify the contribution of AI to robot intelligence. In particular, we will consider the robot system architecture and how AI techniques are associated with its various capacities and functions.
Technology is replacing people in many jobs, but also creating new and better work and conditions in some cases. Scientists have estimated that machines could take 50% of our jobs in the next 30 years. Who will own the machines? Join me to explore the future challenges and issues of AI and robotics.
Ai and robotics: Past, Present and FutureHongmei He
Abstract: Artificial Intelligence (AI) has been a topic of research since the term was first coined by John McCarthy in 1956. In the last six decades, development of AI has experienced an uneven ride. Recently, the successful application of deep learning in Google AlphaGo triggered a wave of revolutionary advances in AI.
Robotics and AI have developed as inseparable twins. This presentation will briefly trace the history of the relationship between the two, survey various types of robots, and identify the contribution of AI to robot intelligence. In particular, we will consider the robot system architecture and how AI techniques are associated with its various capacities and functions.
Technology is replacing people in many jobs, but also creating new and better work and conditions in some cases. Scientists have estimated that machines could take 50% of our jobs in the next 30 years. Who will own the machines? Join me to explore the future challenges and issues of AI and robotics.
Robotic Introduction
ACRRL
Applied Control & Robotics Research Laboratory of Shiraz University
Department of Power and Control Engineering, Shiraz University, Fars, Iran.
Mohammad Sabouri
Milad Shayan
https://sites.google.com/view/acrrl/
https://sites.google.com/view/acrrl/team/current-members/mohammad-sabouri
[CB21] MUSHIKAGO: IT and OT Automation Penetration testing Tool Using Game AI...CODE BLUE
MUSHIKAGO is an automatic penetration testing tool using game AI, MUSHIKAGO focuses on the verification of post-exploitation. A post-exploitation is an attack that an attacker carries out after invading the target environment. By focusing on post-exploitation verification, we can understand how far an attacker can actually penetrate and what kind of information is collected. MUSHIKAGO uses the GOAP (Goal-Oriented Action Planning), which is game AI commonly used in NPC (Non Player Character). To using GOAP, we can flexibly change the content of the attack according to the environment like NPC, and mimic the attacks by real APT attackers and testers. The operation and verification results of MUSHIKAGO can be checked on the dedicated web page. Moreover, MUSHIKAGO supports ICS (Industrial Control System), and can be used for penetration testing across IT and OT (Operation Technology).
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
Material Handling Robot For Smart Manufacturing in Industriesdbpublications
Abstract—Material Handling Robo’s are mechanically controlled devices designed to replicate the movement of a human arm. The devices are used for lifting heavy objects and carrying out tasks that require extreme concentration and expert accuracy.In this highly developing society; time and man power are critical constrains for completion of task in large scales. the automation is playing important role to save human efforts in most of the regular and frequently carried works e.g. most of the industrial jobs like welding, painting, assembly, container filling etc. one of the major and most commonly performed work is picking and placing of jobs from source to destination. For this purpose, We intend to design a prototype based robo using pick and place mechanism.Material Selection is done using RFID Technology.The Material Handling Robot is a microcontroller based mechatronic system that detects the object based on the instruction given by the RFID Reader, picks that object automatically from source location and places at desired location.A mechanical gripper is robotic, usually programmable, with similar functions to a human arm.Thus designing a Material Handling Robo most often can be used for industrial and nonindustrial purposes.
Cisco data analytics in ioe_rajiv niles_2015 novCiscoKorea
시스코가 소개하는 만물인터넷 시대의 데이터 애널리틱스의 가치!
슬라이드에 대한 자세한 발표 내용은 시스코 코리아 공식 블로그(www.ciscokrblog.com/768) 나 네트워크 사이트(http://apjc.thecisconetwork.com/site/content/lang/ko/id/4537) 확인해 보실 수 있습니다.
Generally, various risky tasks or certain difficult operations cannot be done completely by humans and thus there is need for change in present era. As robots play vital roles in different fields of industries, medical, colleges, home appliances, military and defence, thus robots can be good and effective option for such difficult purposes. The proposed work is to develop an all terrain robot prototype. The robots which are presently in the market works on simple terrains while this project claims to make a prototype which can work on plain surfaces as well as rough surfaces such as forests, hilly and rocky areas. This project presents a offensive and defensive robot which uses different technologies like Arduino, Android Application, Bluetooth module and Laser Module. It develops a low voltage power supply, low cost and wireless robot prototype which is controlled using microcontroller and android application. Dr. M. Sampath Kumar | Anchal Mohanty | Meghana Beesu | E. Sai Kiran ""All Terrain Offensive and Defensive Robot"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23370.pdf
Paper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/23370/all-terrain-offensive-and-defensive-robot/dr-m-sampath-kumar
Artificial Intelligence (AI) has been a topic of research since the term was first coined by John McCarthy in 1956. In the last six decades, development of AI has experienced an uneven ride. Recently, the successful application of deep learning in Google AlphaGo triggered a wave of revolutionary advances in AI.
Robotics and AI have developed as inseparable twins. This presentation will briefly trace the history of the relationship between the two, survey various types of robots, and identify the contribution of AI to robot intelligence. In particular, we will consider the robot system architecture and how AI techniques are associated with its various capacities and functions.
Technology is replacing people in many jobs, but also creating new and better work and conditions in some cases. Scientists have estimated that machines could take 50% of our jobs in the next 30 years. Who will own the machines? Join me to explore the future challenges and issues of AI and robotics.
Ai and robotics: Past, Present and FutureHongmei He
Abstract: Artificial Intelligence (AI) has been a topic of research since the term was first coined by John McCarthy in 1956. In the last six decades, development of AI has experienced an uneven ride. Recently, the successful application of deep learning in Google AlphaGo triggered a wave of revolutionary advances in AI.
Robotics and AI have developed as inseparable twins. This presentation will briefly trace the history of the relationship between the two, survey various types of robots, and identify the contribution of AI to robot intelligence. In particular, we will consider the robot system architecture and how AI techniques are associated with its various capacities and functions.
Technology is replacing people in many jobs, but also creating new and better work and conditions in some cases. Scientists have estimated that machines could take 50% of our jobs in the next 30 years. Who will own the machines? Join me to explore the future challenges and issues of AI and robotics.
Robotic Introduction
ACRRL
Applied Control & Robotics Research Laboratory of Shiraz University
Department of Power and Control Engineering, Shiraz University, Fars, Iran.
Mohammad Sabouri
Milad Shayan
https://sites.google.com/view/acrrl/
https://sites.google.com/view/acrrl/team/current-members/mohammad-sabouri
[CB21] MUSHIKAGO: IT and OT Automation Penetration testing Tool Using Game AI...CODE BLUE
MUSHIKAGO is an automatic penetration testing tool using game AI, MUSHIKAGO focuses on the verification of post-exploitation. A post-exploitation is an attack that an attacker carries out after invading the target environment. By focusing on post-exploitation verification, we can understand how far an attacker can actually penetrate and what kind of information is collected. MUSHIKAGO uses the GOAP (Goal-Oriented Action Planning), which is game AI commonly used in NPC (Non Player Character). To using GOAP, we can flexibly change the content of the attack according to the environment like NPC, and mimic the attacks by real APT attackers and testers. The operation and verification results of MUSHIKAGO can be checked on the dedicated web page. Moreover, MUSHIKAGO supports ICS (Industrial Control System), and can be used for penetration testing across IT and OT (Operation Technology).
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
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.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...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.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
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
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.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
The Metaverse and AI: how can decision-makers harness the Metaverse for their...Jen Stirrup
The Metaverse is popularized in science fiction, and now it is becoming closer to being a part of our daily lives through the use of social media and shopping companies. How can businesses survive in a world where Artificial Intelligence is becoming the present as well as the future of technology, and how does the Metaverse fit into business strategy when futurist ideas are developing into reality at accelerated rates? How do we do this when our data isn't up to scratch? How can we move towards success with our data so we are set up for the Metaverse when it arrives?
How can you help your company evolve, adapt, and succeed using Artificial Intelligence and the Metaverse to stay ahead of the competition? What are the potential issues, complications, and benefits that these technologies could bring to us and our organizations? In this session, Jen Stirrup will explain how to start thinking about these technologies as an organisation.
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/
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
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.
2. What is a Robot?
A robot is a machine that gathers information
about its environment (senses) and uses that
Information (thinks) to follow instructions and to
do work (acts).
We can also say that a robot is a
electromechanical
or biomechanical device or group of devices
that
can perform a repetitive or pre-programmed
tasks.
3.
4. Daily life applications
• Home Security
• Bank
• Post office
• Websites
• Digital cameras
• News and publishing
• Financial trades
• Health and medicine
• Games and toys
5.
6.
7.
8.
9.
10.
11.
12. Robo Cup
Each robot has :-
• Pentium 233MHz
• Linux OS
• Video camera and
frame grabber
• Sensor System
• Kicker
Robo Cup is an international research effort to promote
autonomous robots held on 1998.
13. Robo Cup
Robots must cooperate in
Strategy acquisition
Real-time reasoning
Multi-agent
collaboration
Competition against
another team of robots
14. How do robots make
decisions?
Control is based on a set of behaviors
Each behavior has a set of preconditions that
either
◦ Must be satisfied
◦ Are desired
A behavior is selected when all of the “musts”
become true
A behavior is selected from several behaviors
based on how many desired conditions are true
15. Building a human-like robot
Reasons to do so:-
Our bodies are critical to the representations that
we use for internal thought and language
If a robot is looks like a human then it will be
natural for humans to interact with it in a human-
like way
To develop similar task constraints