Robotics involves the engineering field of designing and building robots. Some key areas discussed include the types of robots, Isaac Asimov's Laws of Robotics, components of robots like structure and sensors, and applications in industries like healthcare, education, and household tasks. The document also outlines both the advantages of robots in performing dangerous or repetitive jobs efficiently and accurately, as well as future prospects for more autonomous robots and robot brains.
This presentation is about Robotics Technology. In this presentation, you know about the history of robots, types of robots, advanced robotics technology, application of robots, advantage dis advantage of robots.
i used this presentation in my ICT project and i made the video that is in slide 5. it is on youtube and its URL ''http://www.youtube.com/watch?v=pRQmRPnUTHQ''. please like this video on youtube
This presentation is about Robotics Technology. In this presentation, you know about the history of robots, types of robots, advanced robotics technology, application of robots, advantage dis advantage of robots.
i used this presentation in my ICT project and i made the video that is in slide 5. it is on youtube and its URL ''http://www.youtube.com/watch?v=pRQmRPnUTHQ''. please like this video on youtube
Contents
Introduction to industrial robots
Application of robots in different areas
Application of robot in manufacturing industries
Types of industrial robots and their application
Advantages of industrial robots
Disadvantages of industrial robots
References
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
Components of industrial robotics types of arms and end effectorsJayanth Krishna
Components of industrial robotics and function line diagram representation of robot arms and common types of arms, components, architecture, Number of degrees of freedom, Requirements and challenges of end effectors and determination of end effectors and Comparison of electric, hydraulic and pneumatic types of locomotion devices.
Contents
Introduction to industrial robots
Application of robots in different areas
Application of robot in manufacturing industries
Types of industrial robots and their application
Advantages of industrial robots
Disadvantages of industrial robots
References
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
Components of industrial robotics types of arms and end effectorsJayanth Krishna
Components of industrial robotics and function line diagram representation of robot arms and common types of arms, components, architecture, Number of degrees of freedom, Requirements and challenges of end effectors and determination of end effectors and Comparison of electric, hydraulic and pneumatic types of locomotion devices.
Introduction to robotics, Laws,Classification,Types, Drives,Geometry Mohammad Ehtasham
Introduction to robotics , Basic overview ,Classification of robotics,laws of robotics,Types of robot, Robot Geometry, Robot drives, Some of the key benefits of robots in industry and society
Definition and origin of robotics – different types of robotics – various generations of robots – degrees of freedom – Asimov's laws of robotics – dynamic stabilization of robots.
A Presentation on Robotics, it's history, the first robot, Asimov's fictional laws, types of robots, it's advantages and disadvantages and it's basic components.
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Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
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.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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/
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/
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
1. • Robotics.
• Why Robotics.
• Types Of Robotics.
• Laws Of Robotics.
• Components Of Robotics.
• Advantages & Disadvantages.
• Future Prospectus.
2.
3. • The Word “Robotics” Is Collectively To Define A Field Engineering That Covers A
Copying Of Various Human Characteristics.
• Sound Concept In Many Engineering Disciplines Is Needed For Working In This
Field.
• It Finds Its Uses In All Aspects Of Life.
4. • An Automatic Industrial Machine Replacing Human In Hazardous Ways.
• An Automatic Mobile Sweeper Machine At Modern Home.
• An Automatic Toy Car For Children To Play.
• A Machine Use For Spying Or Safety Purpose.
5. • A Robot Is Any Moving Machine That Can Be Programmed To Perform Tasks And
Gather Information From Its Surroundings.
• Robots Work From A Central Microprocessor That Control Their Movements.
• They Also Have Sensors For Examining The Environment And Power Sources.
6. Robotics Include A Knowledge Of
Mechanical , Electronics , Electrical &
Computer Science Engineering.
7. The Term Robotics Was Coined In 1940’s By Science Fiction
Writer “Isaac Asimov”.
Asimov’s Laws Of Robotics-
A Robot May not Injure A Human Being.
A Robot Must Obey The Orders Given By Human Beings Except Where Such Order
Would Conflict With The First Law.
A Robot Must Protect Its Own Existence As Long As Such Protection Does Not
Conflict First Or Second Law.
8.
9. Speed.
It Can Work In Hazardous Or Dangerous Environments.
To Perform Repetitive Tasks.
Efficiency.
Accuracy.
Adaptability.
16. • The Structure Of Robot Is Usually Mostly Mechanical & Can Be Called As
“Kinematic Chain”.
• The Chain Is Forms Of Link’s (It’s Bones) , Actuators (It’s Muscles) , And Joint
Which Can Allow One Or More Degrees of Freedom.
17. Suitable Power Supply Is needed To Run The Motors And Associated Circuitry.
Typical Power Requirement Ranges From 3V To 24V DC.
220 AC must Be Modified To Suits The Need of Our Machines.
Batteries Can Also Be Use To Run Robots.
18. • Actuators Are Muscles Of A Robot , the Part Which
Converts Stored Energy into movement.
• The Most Popular Actuators Are Electronic Motors.
19. • Robots Which Works In The Real Require Some Way To Manipulate Objects ; Pick
Up , Modify , Destroy Or Otherwise Have An Effect.
• Thus The Hands Of Robots Are Often Refereed To As An Effectors , While The Hand
Is Refereed As To Be Handling.
20. It Is Concerned With The Motion Of The Robot :
Robots Contain Different Types Of Drives :
Car Type.
Skid Steer Drive.
Synchronous Drive.
Pivot Drive.
Articulated Drive.
21. 1. Revolution In Health Care Medical Science System.
2. New & Wide Scope In Education & Training.
3. A Good Help In Nuclear Industry.
4. Used Tremendously In Sports Activities.
5. Can Very Well Handle House Hold Business
22. Scientists Say That It Is Possible That Robot Brain Will Exist In 2019.
Vernor Vinge Has Suggested That A Moment May Come When Computers & Robots
Are Smarter Than Human.
In 2009 , Some Robots Are Acquired Various Forms Of Semi-Autonomy , Including
Being Able To Find Power Sources On Their Own.