Learning And Execution Of Object Manipulation Tasks On Humanoid Robots

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Learning And Execution Of Object Manipulation Tasks On Humanoid Robots

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Author : Waechter, Mirko
language : en
Publisher: KIT Scientific Publishing
Release Date : 2018-03-21

Learning And Execution Of Object Manipulation Tasks On Humanoid Robots written by Waechter, Mirko and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-21 with Electronic computers. Computer science categories.

Equipping robots with complex capabilities still requires a great amount of effort. In this work, a novel approach is proposed to understand, to represent and to execute object manipulation tasks learned from observation by combining methods of data analysis, graphical modeling and artificial intelligence. Employing this approach enables robots to reason about how to solve tasks in dynamic environments and to adapt to unseen situations.

Learning And Execution Of Object Manipulation Tasks On Humanoid Robots

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Author : Mirko Wächter
language : en
Publisher:
Release Date : 2020-10-09

Learning And Execution Of Object Manipulation Tasks On Humanoid Robots written by Mirko Wächter and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-09 with Technology & Engineering categories.

Equipping robots with complex capabilities still requires a great amount of effort. In this work, a novel approach is proposed to understand, to represent and to execute object manipulation tasks learned from observation by combining methods of data analysis, graphical modeling and artificial intelligence. Employing this approach enables robots to reason about how to solve tasks in dynamic environments and to adapt to unseen situations. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

Active Vision For Scene Understanding

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Author : Grotz, Markus
language : en
Publisher: KIT Scientific Publishing
Release Date : 2021-12-21

Active Vision For Scene Understanding written by Grotz, Markus and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-21 with Computers categories.

Visual perception is one of the most important sources of information for both humans and robots. A particular challenge is the acquisition and interpretation of complex unstructured scenes. This work contributes to active vision for humanoid robots. A semantic model of the scene is created, which is extended by successively changing the robot's view in order to explore interaction possibilities of the scene.

Human Inspired Balancing And Recovery Stepping For Humanoid Robots

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Author : Kaul, Lukas Sebastian
language : en
Publisher: KIT Scientific Publishing
Release Date : 2019-05-15

Human Inspired Balancing And Recovery Stepping For Humanoid Robots written by Kaul, Lukas Sebastian and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-15 with Computers categories.

Robustly maintaining balance on two legs is an important challenge for humanoid robots. The work presented in this book represents a contribution to this area. It investigates efficient methods for the decision-making from internal sensors about whether and where to step, several improvements to efficient whole-body postural balancing methods, and proposes and evaluates a novel method for efficient recovery step generation, leveraging human examples and simulation-based reinforcement learning.

Advanced Bimanual Manipulation

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Author : Bruno Siciliano
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-04-12

Advanced Bimanual Manipulation written by Bruno Siciliano and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-12 with Computers categories.

Dexterous and autonomous manipulation is a key technology for the personal and service robots of the future. Advances in Bimanual Manipulation edited by Bruno Siciliano provides the robotics community with the most noticeable results of the four-year European project DEXMART (DEXterous and autonomous dual-arm hand robotic manipulation with sMART sensory-motor skills: A bridge from natural to artificial cognition). The volume covers a host of highly important topics in the field, concerned with modelling and learning of human manipulation skills, algorithms for task planning, human-robot interaction, and grasping, as well as hardware design of dexterous anthropomorphic hands. The results described in this five-chapter collection are believed to pave the way towards the development of robotic systems endowed with dexterous and human-aware dual-arm/hand manipulation skills for objects, operating with a high degree of autonomy in unstructured real-world environments.

Robot Programming By Demonstration

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Author : Sylvain Calinon
language : en
Publisher: EPFL Press
Release Date : 2009-08-24

Robot Programming By Demonstration written by Sylvain Calinon and has been published by EPFL Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-08-24 with Computers categories.

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.

Towards Autonomous Robotic Systems

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Author : Charles Fox
language : en
Publisher: Springer Nature
Release Date : 2021-10-30

Towards Autonomous Robotic Systems written by Charles Fox and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-30 with Computers categories.

The volume LNAI 13054 constitutes the refereed proceedings of the 22th Annual Conference Towards Autonomous Robotic Systems, TAROS 2021, held in Lincoln, UK, in September 2021.*The 45 full papers were carefully reviewed and selected from 66 submissions. Organized in the topical sections "Algorithms" and "Systems", they discuss significant findings and advances in the following areas: artificial intelligence; mechatronics; image processing and computer vision; special purpose and application-based systems; user interfaces and human computer interaction. * The conference was held virtually due to the COVID-19 pandemic.

Deep Learning Foundations And Advancements

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Author : Dr. Gali Nageswara Rao
language : en
Publisher: RK Publication
Release Date : 2024-10-01

Deep Learning Foundations And Advancements written by Dr. Gali Nageswara Rao and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-01 with Computers categories.

Deep Learning: Foundations and Advancements a comprehensive exploration of the core principles and cutting-edge developments in deep learning. This foundational topics such as neural networks, optimization techniques, and learning algorithms, while also delving into advanced applications and research, including reinforcement learning, generative models, and deep neural architectures. With a focus on both theory and practical implementation, it offers readers a solid understanding of how deep learning is transforming industries like computer vision, natural language processing, and autonomous systems.

Deep Reinforcement Learning And Its Industrial Use Cases

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Author : Shubham Mahajan
language : en
Publisher: John Wiley & Sons
Release Date : 2024-10-01

Deep Reinforcement Learning And Its Industrial Use Cases written by Shubham Mahajan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-01 with Computers categories.

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.

Intrinsically Motivated Open Ended Learning In Autonomous Robots

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Author : Vieri Giuliano Santucci
language : en
Publisher: Frontiers Media SA
Release Date : 2020-02-19

Intrinsically Motivated Open Ended Learning In Autonomous Robots written by Vieri Giuliano Santucci and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-19 with categories.