On Motion Control and Machine Learning for Robotic Assembly

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Publisher :
ISBN 13 :
Total Pages : 74 pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis On Motion Control and Machine Learning for Robotic Assembly by : Martin Karlsson

Download or read book On Motion Control and Machine Learning for Robotic Assembly written by Martin Karlsson and published by . This book was released on 2017 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Learning for Adaptive and Reactive Robot Control

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Publisher : MIT Press
ISBN 13 : 0262367017
Total Pages : 425 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Learning for Adaptive and Reactive Robot Control by : Aude Billard

Download or read book Learning for Adaptive and Reactive Robot Control written by Aude Billard and published by MIT Press. This book was released on 2022-02-08 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methods by which robots can learn control laws that enable real-time reactivity using dynamical systems; with applications and exercises. This book presents a wealth of machine learning techniques to make the control of robots more flexible and safe when interacting with humans. It introduces a set of control laws that enable reactivity using dynamical systems, a widely used method for solving motion-planning problems in robotics. These control approaches can replan in milliseconds to adapt to new environmental constraints and offer safe and compliant control of forces in contact. The techniques offer theoretical advantages, including convergence to a goal, non-penetration of obstacles, and passivity. The coverage of learning begins with low-level control parameters and progresses to higher-level competencies composed of combinations of skills. Learning for Adaptive and Reactive Robot Control is designed for graduate-level courses in robotics, with chapters that proceed from fundamentals to more advanced content. Techniques covered include learning from demonstration, optimization, and reinforcement learning, and using dynamical systems in learning control laws, trajectory planning, and methods for compliant and force control . Features for teaching in each chapter: applications, which range from arm manipulators to whole-body control of humanoid robots; pencil-and-paper and programming exercises; lecture videos, slides, and MATLAB code examples available on the author’s website . an eTextbook platform website offering protected material[EPS2] for instructors including solutions.

Machine Learning of Robot Assembly Plans

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Publisher : Springer Science & Business Media
ISBN 13 : 146131691X
Total Pages : 244 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Machine Learning of Robot Assembly Plans by : Alberto Maria Segre

Download or read book Machine Learning of Robot Assembly Plans written by Alberto Maria Segre and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: The study of artificial intelligence (AI) is indeed a strange pursuit. Unlike most other disciplines, few AI researchers even agree on a mutually acceptable definition of their chosen field of study. Some see AI as a sub field of computer science, others see AI as a computationally oriented branch of psychology or linguistics, while still others see it as a bag of tricks to be applied to an entire spectrum of diverse domains. This lack of unified purpose among the AI community makes this a very exciting time for AI research: new and diverse projects are springing up literally every day. As one might imagine, however, this diversity also leads to genuine difficulties in assessing the significance and validity of AI research. These difficulties are an indication that AI has not yet matured as a science: it is still at the point where people are attempting to lay down (hopefully sound) foundations. Ritchie and Hanna [1] posit the following categorization as an aid in assessing the validity of an AI research endeavor: (1) The project could introduce, in outline, a novel (or partly novel) idea or set of ideas. (2) The project could elaborate the details of some approach. Starting with the kind of idea in (1), the research could criticize it or fill in further details (3) The project could be an AI experiment, where a theory as in (1) and (2) is applied to some domain. Such experiments are usually computer programs that implement a particular theory.

Control and Learning in Robotic Systems

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Publisher :
ISBN 13 :
Total Pages : 344 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Control and Learning in Robotic Systems by : John X. Liu

Download or read book Control and Learning in Robotic Systems written by John X. Liu and published by . This book was released on 2005 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robotics began as a science fiction creation which has become quite real, first in assembly line operations such as automobile manufacturing, aeroplane construction etc. They have now reached such areas as the internet, ever-multiplying-medical uses and sophisticated military applications. Control of today's robots is often remote which requires even more advanced computer vision capabilities as well as sensors and interface techniques. Learning has become crucial for modern robotic systems as well. This new book deals with control and learning in robotic systems.

Building Smart Robots Using ROS

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Publisher : BPB Publications
ISBN 13 : 939139227X
Total Pages : 238 pages
Book Rating : 4.3/5 (913 download)

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Book Synopsis Building Smart Robots Using ROS by : Robin Tommy

Download or read book Building Smart Robots Using ROS written by Robin Tommy and published by BPB Publications. This book was released on 2022-03-24 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: A beginner’s guide to learn ROS, robotics platform, and practice building robotics system KEY FEATURES ● A step-by-step guide covering the robot's design, assembly, navigation and control. ● Numerous techniques, ROS packages, object detection and image processing concepts included. ● Practical exercises and sample codes to robotics design, simulation, and visualization tools. DESCRIPTION This book is a practical introduction to the Robotics operating system (ROS). It will expose you to the essential principles, tools, and packages in ROS and assist you in configuring and recombining components for additional tasks. If you are new to the world of robotics, you will enjoy the companionship of this book as it guides you through the process of building your first robot. The book introduces robotics and advances through numerous concepts such as sensors and actuators, SLAM, Aruco markers, CAD (computer-aided design), React native application development, image processing in ROS, machine learning and object detection. Every point raised above is illustrated in a live robotics environment. Along the way, other packages required for developing ROS apps will be presented, including serial, OpenCV, and cv bridge. You'll learn about tools like SolidWorks, Moveit, Rviz, as well as simulation platforms like gazebo and turtlesim, which will give you a complete picture of what it takes to build a robot. This book presents an in-depth examination of Robot Operating Systems (ROS), the sole foundation for developing robotics applications. The book guides the readers through investigating and embedding machine learning code to introduce intelligence into the robot. WHAT YOU WILL LEARN ● Develop a stronghold on basics of robotics with code samples and illustrations. ● Familiarity with ROS, the configuration of nodes, and 3D robot simulations. ● Learn how to publish data to the ROS network for web integration. ● Learn about SLAM, CAD, React Native, and ROS image processing. ● Learn about Artificial Intelligence principles and object detection with ROS. ● Complete design, simulation, and assembly of a robot. WHO THIS BOOK IS FOR The book is aimed at robotics developers, hardware product designers, full-stack application developers, machine learning enthusiasts, and students who want to obtain real-world experience in robotics development from start to finish. Having some experience with Ubuntu and the python programming language would be helpful. TABLE OF CONTENTS 1. ROS 2. Writing Nodes 3. Sensors and Actuators 4. ROS SERIAL 5. Web interface 6. Turtle Sim Simulation 7. Designing a robot 8. Gazebo 9. Moveit 10. Rviz 11. Vision 12. Aruco Markers 13. SLAM 14. React Native App 15. Artificial Intelligence

Globally Stable Compliant Motion Control for Robotic Assembly

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Publisher :
ISBN 13 :
Total Pages : 25 pages
Book Rating : 4.:/5 (261 download)

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Book Synopsis Globally Stable Compliant Motion Control for Robotic Assembly by : General Motors Corporation. Research Laboratories. Computer Science Dept

Download or read book Globally Stable Compliant Motion Control for Robotic Assembly written by General Motors Corporation. Research Laboratories. Computer Science Dept and published by . This book was released on 1988 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Learning Motor Skills

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Publisher : Springer
ISBN 13 : 3319031945
Total Pages : 201 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Learning Motor Skills by : Jens Kober

Download or read book Learning Motor Skills written by Jens Kober and published by Springer. This book was released on 2013-11-23 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state of the art in reinforcement learning applied to robotics both in terms of novel algorithms and applications. It discusses recent approaches that allow robots to learn motor. skills and presents tasks that need to take into account the dynamic behavior of the robot and its environment, where a kinematic movement plan is not sufficient. The book illustrates a method that learns to generalize parameterized motor plans which is obtained by imitation or reinforcement learning, by adapting a small set of global parameters and appropriate kernel-based reinforcement learning algorithms. The presented applications explore highly dynamic tasks and exhibit a very efficient learning process. All proposed approaches have been extensively validated with benchmarks tasks, in simulation and on real robots. These tasks correspond to sports and games but the presented techniques are also applicable to more mundane household tasks. The book is based on the first author’s doctoral thesis, which won the 2013 EURON Georges Giralt PhD Award.

Intelligent Robotics and Applications

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Publisher : Springer Nature
ISBN 13 : 9819964954
Total Pages : 611 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Intelligent Robotics and Applications by : Huayong Yang

Download or read book Intelligent Robotics and Applications written by Huayong Yang and published by Springer Nature. This book was released on 2023-10-15 with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 9-volume set LNAI 14267-14275 constitutes the proceedings of the 16th International Conference on Intelligent Robotics and Applications, ICIRA 2023, which took place in Hangzhou, China, during July 5–7, 2023. The 413 papers included in these proceedings were carefully reviewed and selected from 630 submissions. They were organized in topical sections as follows: Part I: Human-Centric Technologies for Seamless Human-Robot Collaboration; Multimodal Collaborative Perception and Fusion; Intelligent Robot Perception in Unknown Environments; Vision-Based Human Robot Interaction and Application. Part II: Vision-Based Human Robot Interaction and Application; Reliable AI on Machine Human Reactions; Wearable Sensors and Robots; Wearable Robots for Assistance, Augmentation and Rehabilitation of Human Movements; Perception and Manipulation of Dexterous Hand for Humanoid Robot. Part III: Perception and Manipulation of Dexterous Hand for Humanoid Robot; Medical Imaging for Biomedical Robotics; Advanced Underwater Robot Technologies; Innovative Design and Performance Evaluation of Robot Mechanisms; Evaluation of Wearable Robots for Assistance and Rehabilitation; 3D Printing Soft Robots. Part IV: 3D Printing Soft Robots; Dielectric Elastomer Actuators for Soft Robotics; Human-like Locomotion and Manipulation; Pattern Recognition and Machine Learning for Smart Robots. Part V: Pattern Recognition and Machine Learning for Smart Robots; Robotic Tactile Sensation, Perception, and Applications; Advanced Sensing and Control Technology for Human-Robot Interaction; Knowledge-Based Robot Decision-Making and Manipulation; Design and Control of Legged Robots. Part VI: Design and Control of Legged Robots; Robots in Tunnelling and Underground Space; Robotic Machining of Complex Components; Clinically Oriented Design in Robotic Surgery and Rehabilitation; Visual and Visual-Tactile Perception for Robotics. Part VII: Visual and Visual-Tactile Perception for Robotics; Perception, Interaction, and Control of Wearable Robots; Marine Robotics and Applications; Multi-Robot Systems for Real World Applications; Physical and Neurological Human-Robot Interaction. Part VIII: Physical and Neurological Human-Robot Interaction; Advanced Motion Control Technologies for Mobile Robots; Intelligent Inspection Robotics; Robotics in Sustainable Manufacturing for Carbon Neutrality; Innovative Design and Performance Evaluation of Robot Mechanisms. Part IX: Innovative Design and Performance Evaluation of Robot Mechanisms; Cutting-Edge Research in Robotics.

Autonomous Learning for Robotic Assembly Applications

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Publisher :
ISBN 13 :
Total Pages : 195 pages
Book Rating : 4.:/5 (63 download)

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Book Synopsis Autonomous Learning for Robotic Assembly Applications by : Jeremy Alan Marvel

Download or read book Autonomous Learning for Robotic Assembly Applications written by Jeremy Alan Marvel and published by . This book was released on 2010 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robotic manipulators have been used to perform a myriad of repetitive industrial tasks with varying degrees of success and precision over the past several decades. Their use in mechanical assembly tasks, however, has been relatively minor due to both their limitations in classical position-control paradigms and the difficulty in algorithmically describing the process of assembly. Though the technology for sensing and compliantly adapting to physical contact has improved, robotic assembly solutions are still largely relegated to simple responsibilities such as peg-in-hole and rigidly fixtured configurations. This dissertation represents the progressive development and assessment of self-guided learning for model-assisted robotic assembly applications. Utilizing industrial manipulators outfitted with six-degree of freedom (DoF) force/torque sensors for compliant motion control, a method for self-optimization of assembly search parameters is developed that allows the robot to determine when its performance has improved using simple metrics of success. Based on prior experiences, the robot then generates internal representations--or models--of the assembly process in order to attempt to predict when certain parameter sequences are likely to result in superior assembly performances. This method is further augmented to algorithmically determine the quality and anticipated effectiveness of the models based on their profiles in the parameter-performance mapping space. Analysis of simulations with arbitrarily-large N-dimensional parameter spaces suggest that even relatively simple models are capable of abstracting useful information of assemblies, even in the presence of noise. These results were then corroborated by running physical trials with and without assistive models on a variety of automobile part assemblies.

Distributed Autonomous Robotic Systems

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Publisher : Springer
ISBN 13 : 3642551467
Total Pages : 452 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Distributed Autonomous Robotic Systems by : M. Ani Hsieh

Download or read book Distributed Autonomous Robotic Systems written by M. Ani Hsieh and published by Springer. This book was released on 2014-06-07 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed robotics is a rapidly growing and maturing interdisciplinary research area lying at the intersection of computer science, network science, control theory, and electrical and mechanical engineering. The goal of the Symposium on Distributed Autonomous Robotic Systems (DARS) is to exchange and stimulate research ideas to realize advanced distributed robotic systems. This volume of proceedings includes 31 original contributions presented at the 2012 International Symposium on Distributed Autonomous Robotic Systems (DARS 2012) held in November 2012 at the Johns Hopkins University in Baltimore, MD USA. The selected papers in this volume are authored by leading researchers from Asia, Europa, and the Americas, thereby providing a broad coverage and perspective of the state-of-the-art technologies, algorithms, system architectures, and applications in distributed robotic systems. The book is organized into five parts, representative of critical long-term and emerging research thrusts in the multi-robot community: Coordination for Perception, Coverage, and Tracking; Task Allocation and Coordination Strategies; Modular Robots and Novel Mechanisms and Sensors; Formation Control and Planning for Robot Teams; and Learning, Adaptation, and Cognition for Robot Teams.

Force-Controlled Robotic Assembly Processes of Rigid and Flexible Objects

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Publisher : Springer
ISBN 13 : 3319391852
Total Pages : 195 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Force-Controlled Robotic Assembly Processes of Rigid and Flexible Objects by : Ibrahim Fahad Jasim Ghalyan

Download or read book Force-Controlled Robotic Assembly Processes of Rigid and Flexible Objects written by Ibrahim Fahad Jasim Ghalyan and published by Springer. This book was released on 2016-05-14 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides comprehensive and integrated approaches for rigid and flexible object assembly. It presents comparison studies with the available force-guided robotic processes and covers contact-state modeling, scheme control strategies, and position searching algorithms. Further, it includes experimental validations for different assembly situations, including those for the assembly of industrial parts taken from the automotive industry.

Concept-learning Techniques for Motion Control and Robotics

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Publisher :
ISBN 13 :
Total Pages : 742 pages
Book Rating : 4.:/5 (33 download)

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Book Synopsis Concept-learning Techniques for Motion Control and Robotics by : Michel Georges Thouati

Download or read book Concept-learning Techniques for Motion Control and Robotics written by Michel Georges Thouati and published by . This book was released on 1992 with total page 742 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Machine Learning Model for Robot Kinematics and Motion Task Planning for Mechanical Assembly Operations

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Publisher :
ISBN 13 :
Total Pages : 11 pages
Book Rating : 4.:/5 (73 download)

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Book Synopsis A Machine Learning Model for Robot Kinematics and Motion Task Planning for Mechanical Assembly Operations by : Bhaskaran Gopalakrishnan

Download or read book A Machine Learning Model for Robot Kinematics and Motion Task Planning for Mechanical Assembly Operations written by Bhaskaran Gopalakrishnan and published by . This book was released on 1994 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent Robotics and Applications

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Publisher : Springer
ISBN 13 : 3030275299
Total Pages : 717 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Intelligent Robotics and Applications by : Haibin Yu

Download or read book Intelligent Robotics and Applications written by Haibin Yu and published by Springer. This book was released on 2019-08-05 with total page 717 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume set LNAI 11740 until LNAI 11745 constitutes the proceedings of the 12th International Conference on Intelligent Robotics and Applications, ICIRA 2019, held in Shenyang, China, in August 2019. The total of 378 full and 25 short papers presented in these proceedings was carefully reviewed and selected from 522 submissions. The papers are organized in topical sections as follows: Part I: collective and social robots; human biomechanics and human-centered robotics; robotics for cell manipulation and characterization; field robots; compliant mechanisms; robotic grasping and manipulation with incomplete information and strong disturbance; human-centered robotics; development of high-performance joint drive for robots; modular robots and other mechatronic systems; compliant manipulation learning and control for lightweight robot. Part II: power-assisted system and control; bio-inspired wall climbing robot; underwater acoustic and optical signal processing for environmental cognition; piezoelectric actuators and micro-nano manipulations; robot vision and scene understanding; visual and motional learning in robotics; signal processing and underwater bionic robots; soft locomotion robot; teleoperation robot; autonomous control of unmanned aircraft systems. Part III: marine bio-inspired robotics and soft robotics: materials, mechanisms, modelling, and control; robot intelligence technologies and system integration; continuum mechanisms and robots; unmanned underwater vehicles; intelligent robots for environment detection or fine manipulation; parallel robotics; human-robot collaboration; swarm intelligence and multi-robot cooperation; adaptive and learning control system; wearable and assistive devices and robots for healthcare; nonlinear systems and control. Part IV: swarm intelligence unmanned system; computational intelligence inspired robot navigation and SLAM; fuzzy modelling for automation, control, and robotics; development of ultra-thin-film, flexible sensors, and tactile sensation; robotic technology for deep space exploration; wearable sensing based limb motor function rehabilitation; pattern recognition and machine learning; navigation/localization. Part V: robot legged locomotion; advanced measurement and machine vision system; man-machine interactions; fault detection, testing and diagnosis; estimation and identification; mobile robots and intelligent autonomous systems; robotic vision, recognition and reconstruction; robot mechanism and design. Part VI: robot motion analysis and planning; robot design, development and control; medical robot; robot intelligence, learning and linguistics; motion control; computer integrated manufacturing; robot cooperation; virtual and augmented reality; education in mechatronics engineering; robotic drilling and sampling technology; automotive systems; mechatronics in energy systems; human-robot interaction.

Vision for Robotics

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Publisher : Now Publishers Inc
ISBN 13 : 1601982607
Total Pages : 94 pages
Book Rating : 4.6/5 (19 download)

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Book Synopsis Vision for Robotics by : Danica Kragic

Download or read book Vision for Robotics written by Danica Kragic and published by Now Publishers Inc. This book was released on 2009 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robot vision refers to the capability of a robot to visually perceive the environment and use this information for execution of various tasks. Visual feedback has been used extensively for robot navigation and obstacle avoidance. In the recent years, there are also examples that include interaction with people and manipulation of objects. In this paper, we review some of the work that goes beyond of using artificial landmarks and fiducial markers for the purpose of implementing visionbased control in robots. We discuss different application areas, both from the systems perspective and individual problems such as object tracking and recognition.

Robotics

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Publisher : SK Research Group of Companies
ISBN 13 : 8119980638
Total Pages : 201 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Robotics by : Dr.V.Balaji

Download or read book Robotics written by Dr.V.Balaji and published by SK Research Group of Companies. This book was released on 2023-12-21 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr. V. Balaji, Professor and Head, Department of Mechanical Engineering, Loyola Institute of Technology, Chennai, Tamil Nadu, India. Mr.D.S.Ezhumalai, Assistant Professor, Department of Mechanical Engineering, Loyola Institute of Technology, Chennai, Tamil Nadu, India. Mr.A.Manigandan, Assistant Professor, Department of Mechanical Engineering, Loyola Institute of Technology, Chennai, Tamil Nadu, India. Ms.D.Asha, Assistant Professor, Department of Information Technology, Loyola Institute of Technology, Chennai, Tamil Nadu, India.

Robotic Assembly of Splined Shaft-hole Using Hybrid Compliance Control and Machine Learning Based Logic Branching Algorithm

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (11 download)

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Book Synopsis Robotic Assembly of Splined Shaft-hole Using Hybrid Compliance Control and Machine Learning Based Logic Branching Algorithm by : Arun Kumar Jaura

Download or read book Robotic Assembly of Splined Shaft-hole Using Hybrid Compliance Control and Machine Learning Based Logic Branching Algorithm written by Arun Kumar Jaura and published by . This book was released on 1996 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: