Deep Learning for Robot Perception and Cognition

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Author :
Publisher : Academic Press
ISBN 13 : 0323885721
Total Pages : 638 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Deep Learning for Robot Perception and Cognition by : Alexandros Iosifidis

Download or read book Deep Learning for Robot Perception and Cognition written by Alexandros Iosifidis and published by Academic Press. This book was released on 2022-02-04 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks. - Presents deep learning principles and methodologies - Explains the principles of applying end-to-end learning in robotics applications - Presents how to design and train deep learning models - Shows how to apply deep learning in robot vision tasks such as object recognition, image classification, video analysis, and more - Uses robotic simulation environments for training deep learning models - Applies deep learning methods for different tasks ranging from planning and navigation to biosignal analysis

Tactile Sensing, Skill Learning, and Robotic Dexterous Manipulation

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Publisher : Academic Press
ISBN 13 : 0323904173
Total Pages : 374 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Tactile Sensing, Skill Learning, and Robotic Dexterous Manipulation by : Qiang Li

Download or read book Tactile Sensing, Skill Learning, and Robotic Dexterous Manipulation written by Qiang Li and published by Academic Press. This book was released on 2022-04-02 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tactile Sensing, Skill Learning and Robotic Dexterous Manipulation focuses on cross-disciplinary lines of research and groundbreaking research ideas in three research lines: tactile sensing, skill learning and dexterous control. The book introduces recent work about human dexterous skill representation and learning, along with discussions of tactile sensing and its applications on unknown objects' property recognition and reconstruction. Sections also introduce the adaptive control schema and its learning by imitation and exploration. Other chapters describe the fundamental part of relevant research, paying attention to the connection among different fields and showing the state-of-the-art in related branches. The book summarizes the different approaches and discusses the pros and cons of each. Chapters not only describe the research but also include basic knowledge that can help readers understand the proposed work, making it an excellent resource for researchers and professionals who work in the robotics industry, haptics and in machine learning. - Provides a review of tactile perception and the latest advances in the use of robotic dexterous manipulation - Presents the most detailed work on synthesizing intelligent tactile perception, skill learning and adaptive control - Introduces recent work on human's dexterous skill representation and learning and the adaptive control schema and its learning by imitation and exploration - Reveals and illustrates how robots can improve dexterity by modern tactile sensing, interactive perception, learning and adaptive control approaches

Wearable Technology for Robotic Manipulation and Learning

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Author :
Publisher : Springer Nature
ISBN 13 : 9811551243
Total Pages : 219 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Wearable Technology for Robotic Manipulation and Learning by : Bin Fang

Download or read book Wearable Technology for Robotic Manipulation and Learning written by Bin Fang and published by Springer Nature. This book was released on 2020-10-06 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the next few decades, millions of people, with varying backgrounds and levels of technical expertise, will have to effectively interact with robotic technologies on a daily basis. This means it will have to be possible to modify robot behavior without explicitly writing code, but instead via a small number of wearable devices or visual demonstrations. At the same time, robots will need to infer and predict humans’ intentions and internal objectives on the basis of past interactions in order to provide assistance before it is explicitly requested; this is the basis of imitation learning for robotics. This book introduces readers to robotic imitation learning based on human demonstration with wearable devices. It presents an advanced calibration method for wearable sensors and fusion approaches under the Kalman filter framework, as well as a novel wearable device for capturing gestures and other motions. Furthermore it describes the wearable-device-based and vision-based imitation learning method for robotic manipulation, making it a valuable reference guide for graduate students with a basic knowledge of machine learning, and for researchers interested in wearable computing and robotic learning.

Deep Learning For 3d Vision: Algorithms And Applications

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Publisher : World Scientific
ISBN 13 : 9811286507
Total Pages : 493 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Deep Learning For 3d Vision: Algorithms And Applications by : Xiaoli Li

Download or read book Deep Learning For 3d Vision: Algorithms And Applications written by Xiaoli Li and published by World Scientific. This book was released on 2024-08-27 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: 3D deep learning is a rapidly evolving field that has the potential to transform various industries. This book provides a comprehensive overview of the current state-of-the-art in 3D deep learning, covering a wide range of research topics and applications. It collates the most recent research advances in 3D deep learning, including algorithms and applications, with a focus on efficient methods to tackle the key technical challenges in current 3D deep learning research and adoption, therefore making 3D deep learning more practical and feasible for real-world applications.This book is organized into five sections, each of which addresses different aspects of 3D deep learning. Section I: Sample Efficient 3D Deep Learning, focuses on developing efficient algorithms to build accurate 3D models with limited annotated samples. Section II: Representation Efficient 3D Deep Learning, deals with the challenge of developing efficient representations for dynamic 3D scenes and multiple 3D modalities. Section III: Robust 3D Deep Learning, presents methods for improving the robustness and reliability of deep learning models in real-world applications. Section IV: Resource Efficient 3D Deep Learning, explores ways to reduce the computation cost of 3D models and improve their efficiency in resource-limited environments. Section V: Emerging 3D Deep Learning Applications, showcases how 3D deep learning is transforming industries and enabling new applications for healthcare and manufacturing.This collection is a valuable resource for researchers and practitioners interested in exploring the potential of 3D deep learning.

Transferring Human Impedance Regulation Skills to Robots

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Author :
Publisher : Springer
ISBN 13 : 3319242059
Total Pages : 180 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Transferring Human Impedance Regulation Skills to Robots by : Arash Ajoudani

Download or read book Transferring Human Impedance Regulation Skills to Robots written by Arash Ajoudani and published by Springer. This book was released on 2015-11-05 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces novel thinking and techniques to the control of robotic manipulation. In particular, the concept of teleimpedance control as an alternative method to bilateral force-reflecting teleoperation control for robotic manipulation is introduced. In teleimpedance control, a compound reference command is sent to the slave robot including both the desired motion trajectory and impedance profile, which are then realized by the remote controller. This concept forms a basis for the development of the controllers for a robotic arm, a dual-arm setup, a synergy-driven robotic hand, and a compliant exoskeleton for improved interaction performance.

Experimental Robotics

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Publisher : Springer Nature
ISBN 13 : 3031635965
Total Pages : 626 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Experimental Robotics by : Marcelo H. Ang Jr

Download or read book Experimental Robotics written by Marcelo H. Ang Jr and published by Springer Nature. This book was released on with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Robotics

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Author :
Publisher : MIT Press
ISBN 13 : 0262513099
Total Pages : 334 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Robotics by : Oliver Brock

Download or read book Robotics written by Oliver Brock and published by MIT Press. This book was released on 2009 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: State-of-the-art robotics research on such topics as manipulation, motion planning, micro-robotics, distributed systems, autonomous navigation, and mapping. Robotics: Science and Systems IV spans a wide spectrum of robotics, bringing together researchers working on the foundations of robotics, robotics applications, and analysis of robotics systems. This volume presents the proceedings of the fourth annual Robotics: Science and Systems conference, held in 2008 at the Swiss Federal Institute of Technology in Zurich. The papers presented cover a range of topics, including computer vision, mapping, terrain identification, distributed systems, localization, manipulation, collision avoidance, multibody dynamics, obstacle detection, microrobotic systems, pursuit-evasion, grasping and manipulation, tracking, spatial kinematics, machine learning, and sensor networks as well as such applications as autonomous driving and design of manipulators for use in functional-MRI. The conference and its proceedings reflect not only the tremendous growth of robotics as a discipline but also the desire in the robotics community for a flagship event at which the best of the research in the field can be presented.

Machine Learning Algorithms and Techniques

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Author :
Publisher : RK Publication
ISBN 13 : 8197469725
Total Pages : 320 pages
Book Rating : 4.1/5 (974 download)

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Book Synopsis Machine Learning Algorithms and Techniques by : Krishna Bonagiri

Download or read book Machine Learning Algorithms and Techniques written by Krishna Bonagiri and published by RK Publication. This book was released on 2024-06-21 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Algorithms and Techniques the concepts, popular algorithms, and essential techniques of machine learning. A comprehensive covering supervised, unsupervised, and reinforcement learning methods while exploring key algorithms like decision trees, neural networks, clustering, and more. Practical applications and examples bring each algorithm to life, helping readers understand how these models are used to solve real-world problems. Designed for both beginners and experienced practitioners, this book is an ideal guide for mastering the fundamentals and applications of machine learning.

Visual Perception and Robotic Manipulation

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Author :
Publisher : Springer
ISBN 13 : 3540334556
Total Pages : 231 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Visual Perception and Robotic Manipulation by : Geoffrey Taylor

Download or read book Visual Perception and Robotic Manipulation written by Geoffrey Taylor and published by Springer. This book was released on 2008-08-18 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book moves toward the realization of domestic robots by presenting an integrated view of computer vision and robotics, covering fundamental topics including optimal sensor design, visual servo-ing, 3D object modelling and recognition, and multi-cue tracking, emphasizing robustness throughout. Covering theory and implementation, experimental results and comprehensive multimedia support including video clips, VRML data, C++ code and lecture slides, this book is a practical reference for roboticists and a valuable teaching resource.

Deep Reinforcement Learning and Its Industrial Use Cases

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Publisher : John Wiley & Sons
ISBN 13 : 1394272553
Total Pages : 421 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Deep Reinforcement Learning and Its Industrial Use Cases by : Shubham Mahajan

Download or read book Deep Reinforcement Learning and Its Industrial Use Cases written by Shubham Mahajan and published by John Wiley & Sons. This book was released on 2024-10-29 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book serves as a bridge connecting the theoretical foundations of DRL with practical, actionable insights for implementing these technologies in a variety of industrial contexts, making it a valuable resource for professionals and enthusiasts at the forefront of technological innovation. Deep Reinforcement Learning (DRL) represents one of the most dynamic and impactful areas of research and development in the field of artificial intelligence. Bridging the gap between decision-making theory and powerful deep learning models, DRL has evolved from academic curiosity to a cornerstone technology driving innovation across numerous industries. Its core premise—enabling machines to learn optimal actions within complex environments through trial and error—has broad implications, from automating intricate decision processes to optimizing operations that were previously beyond the reach of traditional AI techniques. “Deep Reinforcement Learning and Its Industrial Use Cases: AI for Real-World Applications” is an essential guide for anyone eager to understand the nexus between cutting-edge artificial intelligence techniques and practical industrial applications. This book not only demystifies the complex theory behind deep reinforcement learning (DRL) but also provides a clear roadmap for implementing these advanced algorithms in a variety of industries to solve real-world problems. Through a careful blend of theoretical foundations, practical insights, and diverse case studies, the book offers a comprehensive look into how DRL is revolutionizing fields such as finance, healthcare, manufacturing, and more, by optimizing decisions in dynamic and uncertain environments. This book distills years of research and practical experience into accessible and actionable knowledge. Whether you’re an AI professional seeking to expand your toolkit, a business leader aiming to leverage AI for competitive advantage, or a student or academic researching the latest in AI applications, this book provides valuable insights and guidance. Beyond just exploring the successes of DRL, it critically examines challenges, pitfalls, and ethical considerations, preparing readers to not only implement DRL solutions but to do so responsibly and effectively. Audience The book will be read by researchers, postgraduate students, and industry engineers in machine learning and artificial intelligence, as well as those in business and industry seeking to understand how DRL can be applied to solve complex industry-specific challenges and improve operational efficiency.

Modern Robotics

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Publisher : Cambridge University Press
ISBN 13 : 1107156300
Total Pages : 545 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis Modern Robotics by : Kevin M. Lynch

Download or read book Modern Robotics written by Kevin M. Lynch and published by Cambridge University Press. This book was released on 2017-05-25 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: A modern and unified treatment of the mechanics, planning, and control of robots, suitable for a first course in robotics.

A Mathematical Introduction to Robotic Manipulation

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Author :
Publisher : CRC Press
ISBN 13 : 1351469789
Total Pages : 488 pages
Book Rating : 4.3/5 (514 download)

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Book Synopsis A Mathematical Introduction to Robotic Manipulation by : Richard M. Murray

Download or read book A Mathematical Introduction to Robotic Manipulation written by Richard M. Murray and published by CRC Press. This book was released on 2017-12-14 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Mathematical Introduction to Robotic Manipulation presents a mathematical formulation of the kinematics, dynamics, and control of robot manipulators. It uses an elegant set of mathematical tools that emphasizes the geometry of robot motion and allows a large class of robotic manipulation problems to be analyzed within a unified framework. The foundation of the book is a derivation of robot kinematics using the product of the exponentials formula. The authors explore the kinematics of open-chain manipulators and multifingered robot hands, present an analysis of the dynamics and control of robot systems, discuss the specification and control of internal forces and internal motions, and address the implications of the nonholonomic nature of rolling contact are addressed, as well. The wealth of information, numerous examples, and exercises make A Mathematical Introduction to Robotic Manipulation valuable as both a reference for robotics researchers and a text for students in advanced robotics courses.

Cognitive Systems and Information Processing

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Author :
Publisher : Springer Nature
ISBN 13 : 9819906172
Total Pages : 662 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Cognitive Systems and Information Processing by : Fuchun Sun

Download or read book Cognitive Systems and Information Processing written by Fuchun Sun and published by Springer Nature. This book was released on 2023-02-23 with total page 662 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Conference on Cognitive Systems and Information Processing, ICCSIP 2022, held in Fuzhou, China, during November 18–20, 2022. The 47 papers included in this book were carefully reviewed and selected from 121 submissions. They were organized in the following topical sections as follows: Award; Algorithm; Application; Manipulation & Control; Hardware and Vision.

Robot Programming by Demonstration

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Publisher : EPFL Press
ISBN 13 : 9781439808672
Total Pages : 248 pages
Book Rating : 4.8/5 (86 download)

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Book Synopsis Robot Programming by Demonstration by : Sylvain Calinon

Download or read book Robot Programming by Demonstration written by Sylvain Calinon and published by EPFL Press. This book was released on 2009-08-24 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in RbD have identified a number of key issues for ensuring a generic approach to the transfer of skills across various agents and contexts. This book focuses on the two generic questions of what to imitate and how to imitate and proposes active teaching methods.

Bio A.I. - From Embodied Cognition to Enactive Robotics

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Author :
Publisher : Frontiers Media SA
ISBN 13 : 2832536166
Total Pages : 392 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Bio A.I. - From Embodied Cognition to Enactive Robotics by : Adam Safron

Download or read book Bio A.I. - From Embodied Cognition to Enactive Robotics written by Adam Safron and published by Frontiers Media SA. This book was released on 2023-12-08 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Even before the deep learning revolution, the landscape of artificial intelligence (AI) was already changing drastically in the 90s. Embodied intelligence, it was proposed, must play a crucial role in the design of intelligent machines. This new wave was inspired by what is today known as Embodied and Enactive Cognitive Science or E-Cognition, which considers that cognitive activity does not reduce to the intellectual capacities of agents being able to represent their environments. E-cognition set AI and robotics in a new direction, in which intelligent machines are required to interact with the environment, and where this interaction does not reduce to explicit representations or prespecified algorithms. These ideas revolutionized the way we think about intelligent machines and cognition, but these theoretical advances are only partially reflected in modern approaches to AI and machine learning (ML). Despite deeply impressive achievements, AI/ML still struggles to recapitulate the kinds of intelligence we find in natural systems, whether we are considering individual insects (e.g. simultaneous localization and mapping), or swarm behaviour (e.g. forum sensing and ensemble inferences), and especially the kinds of flexibility and high-level reasoning characteristic of human cognition.

Modern Problems of Robotics

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Author :
Publisher : Springer Nature
ISBN 13 : 3030884589
Total Pages : 226 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Modern Problems of Robotics by : Arkady Yuschenko

Download or read book Modern Problems of Robotics written by Arkady Yuschenko and published by Springer Nature. This book was released on 2021-10-08 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the post-conference proceedings of the 2nd International Conference on Modern Problems of Robotics, MPoR 2020, held in Moscow, Russia, in March 2020. The 16 revised full papers were carefully reviewed and selected from 21 submissions. The volume includes the following topical sections: Collaborative Robotic Systems, Robotic Systems Design and Simulation, and Robots Control. The papers are devoted to the most interesting today’s investigations in Robotics, such as the problems of the human–robot interaction, the problems of robot design and simulation, and the problems of robot and robotic complexes control.

Explainable and Interpretable Reinforcement Learning for Robotics

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Author :
Publisher : Springer Nature
ISBN 13 : 3031475186
Total Pages : 123 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Explainable and Interpretable Reinforcement Learning for Robotics by : Aaron M. Roth

Download or read book Explainable and Interpretable Reinforcement Learning for Robotics written by Aaron M. Roth and published by Springer Nature. This book was released on with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: