Recent Advances In Robot Learning From Demonstration
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Recent Advances In Robot Learning From Demonstration
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Author : Harish Ravichandar
language : en
Publisher:
Release Date : 2020
Recent Advances In Robot Learning From Demonstration written by Harish Ravichandar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
In the context of robotics and automation, learning from demonstration (LfD) is the paradigm in which robots acquire new skills by learning to imitate an expert. The choice of LfD over other robot learning methods is compelling when ideal behavior can be neither easily scripted (as is done in traditional robot programming) nor easily defined as an optimization problem, but can be demonstrated. While there have been multiple surveys of this field in the past, there is a need for a new one given the considerable growth in the number of publications in recent years. This review aims to provide an overview of the collection of machine-learning methods used to enable a robot to learn from and imitate a teacher. We focus on recent advancements in the field and present an updated taxonomy and characterization of existing methods. We also discuss mature and emerging application areas for LfD and highlight the significant challenges that remain to be overcome both in theory and in practice.
Recent Advances In Robot Learning
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Author : Judy A. Franklin
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Recent Advances In Robot Learning written by Judy A. Franklin 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 2012-12-06 with Computers categories.
Recent Advances in Robot Learning contains seven papers on robot learning written by leading researchers in the field. As the selection of papers illustrates, the field of robot learning is both active and diverse. A variety of machine learning methods, ranging from inductive logic programming to reinforcement learning, is being applied to many subproblems in robot perception and control, often with objectives as diverse as parameter calibration and concept formulation. While no unified robot learning framework has yet emerged to cover the variety of problems and approaches described in these papers and other publications, a clear set of shared issues underlies many robot learning problems. Machine learning, when applied to robotics, is situated: it is embedded into a real-world system that tightly integrates perception, decision making and execution. Since robot learning involves decision making, there is an inherent active learning issue. Robotic domains are usually complex, yet the expense of using actual robotic hardware often prohibits the collection of large amounts of training data. Most robotic systems are real-time systems. Decisions must be made within critical or practical time constraints. These characteristics present challenges and constraints to the learning system. Since these characteristics are shared by other important real-world application domains, robotics is a highly attractive area for research on machine learning. On the other hand, machine learning is also highly attractive to robotics. There is a great variety of open problems in robotics that defy a static, hand-coded solution. Recent Advances in Robot Learning is an edited volume of peer-reviewed original research comprising seven invited contributions by leading researchers. This research work has also been published as a special issue of Machine Learning (Volume 23, Numbers 2 and 3).
Recent Advances In Robotic Systems
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Author : Guanghui Wang
language : en
Publisher: BoD – Books on Demand
Release Date : 2016-09-28
Recent Advances In Robotic Systems written by Guanghui Wang and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-28 with Science categories.
This book brings together some recent advances and development in robotics. In 12 chapters, written by experts and researchers in respective fields, the book presents some up-to-date research ideas and findings in a wide range of robotics, including the design, modeling, control, learning, interaction, and navigation of robots. From an application perspective, the book covers UAVs, USVs, mobile robots, humanoid robots, graspers, and underwater robots. The unique text offers practical guidance to graduate students and researchers in research and applications in the field of robotics.
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.
From Batch Size 1 To Serial Production Adaptive Robots For Scalable And Flexible Production Systems
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Author : Mohamad Bdiwi
language : en
Publisher: Frontiers Media SA
Release Date : 2023-05-24
From Batch Size 1 To Serial Production Adaptive Robots For Scalable And Flexible Production Systems written by Mohamad Bdiwi 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 2023-05-24 with Technology & Engineering categories.
Basic Human Robot Interaction
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Author : David O Johnson
language : en
Publisher: World Scientific
Release Date : 2024-02-21
Basic Human Robot Interaction written by David O Johnson and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-21 with Technology & Engineering categories.
The book's content is designed to provide practical guidance and insights for conducting experiments in Human-Robot Interaction (HRI) and publishing the results in scientific journals. It includes a detailed explanation of how to conduct HRI experiments and what to do and what not to do to get an article accepted for publication. It is tailored to those seeking to deepen their understanding of HRI methodologies, statistical measurements, and research design. The case studies and examples featured in the book focus on interactions between social robots and specific demographics such as children and older adults, making it relevant for individuals working in healthcare, education, and related domains.Also covered are common statistical measurements used in HRI research and quantitative, qualitative, and meta-analyses. The concepts are illustrated with several international case studies of interactions between social robots and children and older adults and robot learning instead of programming. The final chapter explores current trends in HRI and provides insights into what to look for in the coming years. It includes an extensive reference section to help HRI researchers in all these areas.This book will appeal to an international audience of advanced students, researchers, industry, and others who are actively engaged or interested in the field of HRI.
Neural Information Processing
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Author : Biao Luo
language : en
Publisher: Springer Nature
Release Date : 2023-11-14
Neural Information Processing written by Biao Luo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-14 with Computers categories.
The six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields.
Proceedings Of The Cardiff University Engineering Research Conference 2023
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Author : Emiliano Spezi
language : en
Publisher: Cardiff University Press
Release Date : 2024-05-01
Proceedings Of The Cardiff University Engineering Research Conference 2023 written by Emiliano Spezi and has been published by Cardiff University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-01 with Technology & Engineering categories.
The Conference was established for the first time in 2023 as part of a programme of activities to sustain research culture environment and dissemination activities at the School of Engineering, Cardiff University, Cardiff United Kingdom. The conference served as a platform to celebrate advancements in various engineering domains researched at our School, and to explore and discuss further advancements in the diverse fields that define contemporary engineering. The structure of the conference programme reflected the multidimensional nature of our research and was built around the priority research areas for the school. 1. Sustainable Energy stands as a testament to our commitment to a greener, more efficient future. We aim to advance energy technology and play a key role in addressing the increasing demand for sustainable and low carbon technologies while reducing environmental impact and ensuring a sustainable environment. Our work helps to drive forward net-zero solutions for achieving the government carbon targets. 2. Advanced Manufacturing represents cutting-edge research into materials, systems and transformative technologies to transform engineering and economic performance in the transport, energy generation and manufacturing industries. Our research in this area focuses on developing smart materials and structures, and sustainable manufacturing processes that help create a sustainable and greener economy. 3. Civil Infrastructure takes centre stage as we improve the sustainability and resilience of infrastructure across the UK and the globe. We work on developing sustainable and resilient total lifecycle solutions across a wide range of domains including construction, structures, energy, geo-environmental and water infrastructure systems. From creating new nano-scale smart materials to macro-scale urban interventions. 4. Compound Semiconductors and Applications represents the cutting edge of electronics, a critical driver of progress in the digital age. We explore the latest developments in compound semiconductor materials, advanced characterisation techniques, quantum optics and novel circuit design methodologies and their diverse applications. We anticipate breakthroughs that will power the next generation of computing, communication, and sensing technologies. 5. Engineering for Health forms a cornerstone of our discussions, recognizing the pivotal role technology plays in revolutionizing healthcare. We are applying the latest research in medical engineering to push the boundaries in areas where innovation has the potential to transform patient care.
Robot Intelligence
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Author : Honghai Liu
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-08-05
Robot Intelligence written by Honghai Liu 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 2010-08-05 with Computers categories.
Robot intelligence has become a major focus of intelligent robotics. Recent innovation in computational intelligence including fuzzy learning, neural networks, evolutionary computation and classical Artificial Intelligence provides sufficient theoretical and experimental foundations for enabling robots to undertake a variety of tasks with reasonable performance. This book reflects the recent advances in the field from an advanced knowledge processing perspective; there have been attempts to solve knowledge based information explosion constraints by integrating computational intelligence in the robotics context.
Modelling Human Motion
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Author : Nicoletta Noceti
language : en
Publisher: Springer Nature
Release Date : 2020-07-09
Modelling Human Motion written by Nicoletta Noceti and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-09 with Computers categories.
The new frontiers of robotics research foresee future scenarios where artificial agents will leave the laboratory to progressively take part in the activities of our daily life. This will require robots to have very sophisticated perceptual and action skills in many intelligence-demanding applications, with particular reference to the ability to seamlessly interact with humans. It will be crucial for the next generation of robots to understand their human partners and at the same time to be intuitively understood by them. In this context, a deep understanding of human motion is essential for robotics applications, where the ability to detect, represent and recognize human dynamics and the capability for generating appropriate movements in response sets the scene for higher-level tasks. This book provides a comprehensive overview of this challenging research field, closing the loop between perception and action, and between human-studies and robotics. The book is organized in three main parts. The first part focuses on human motion perception, with contributions analyzing the neural substrates of human action understanding, how perception is influenced by motor control, and how it develops over time and is exploited in social contexts. The second part considers motion perception from the computational perspective, providing perspectives on cutting-edge solutions available from the Computer Vision and Machine Learning research fields, addressing higher-level perceptual tasks. Finally, the third part takes into account the implications for robotics, with chapters on how motor control is achieved in the latest generation of artificial agents and how such technologies have been exploited to favor human-robot interaction. This book considers the complete human-robot cycle, from an examination of how humans perceive motion and act in the world, to models for motion perception and control in artificial agents. In this respect, the book will provide insights into the perception and action loop in humans and machines, joining together aspects that are often addressed in independent investigations. As a consequence, this book positions itself in a field at the intersection of such different disciplines as Robotics, Neuroscience, Cognitive Science, Psychology, Computer Vision, and Machine Learning. By bridging these different research domains, the book offers a common reference point for researchers interested in human motion for different applications and from different standpoints, spanning Neuroscience, Human Motor Control, Robotics, Human-Robot Interaction, Computer Vision and Machine Learning. Chapter 'The Importance of the Affective Component of Movement in Action Understanding' of this book is available open access under a CC BY 4.0 license at link.springer.com.