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Titlebook: Human-Friendly Robotics 2020; 13th International W Matteo Saveriano,Erwan Renaudo,Justus Piater Conference proceedings 2021 The Editor(s) (

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發(fā)表于 2025-3-21 18:31:58 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Human-Friendly Robotics 2020
副標(biāo)題13th International W
編輯Matteo Saveriano,Erwan Renaudo,Justus Piater
視頻videohttp://file.papertrans.cn/430/429766/429766.mp4
概述Includes proceedings of the 13th International Workshop on Human-Friendly Robotics (HFR2020) held in Innsbruck, Austria, in October 2020.Brings together academic scientists, researchers, and research
叢書名稱Springer Proceedings in Advanced Robotics
圖書封面Titlebook: Human-Friendly Robotics 2020; 13th International W Matteo Saveriano,Erwan Renaudo,Justus Piater Conference proceedings 2021 The Editor(s) (
描述.This book presents recent methodological, technological, and experimental developments concerning human-friendly robots and their introduction into everyday life.. . The book contains a selection of 10 papers presented at the 13th edition of the International Workshop on Human-Friendly Robotics (HFR).. . The International Workshop on Human-Friendly Robotics (HFR) is an annual meeting that brings together academic scientists, researchers,?and research scholars to present their latest, original findings on all aspects concerning human-friendly robotics where safe and dependable machines operate in close proximity to humans or directly interact with them in a wide range of contexts. The 13th edition was organized by the University of Innsbruck and took place in Innsbruck, Austria.. . The book is primarily intended for robotics researchers and postgraduates which are doing or willing to do research in fields related to human-friendly robotics, including?human–robot?interaction, robot control, robot learning,?and?intuitive interfaces...?..
出版日期Conference proceedings 2021
關(guān)鍵詞Human-Robot Interaction; Industrial Artificial Intelligence; AI; Cognitive Robots; Human-Robot; Coexisten
版次1
doihttps://doi.org/10.1007/978-3-030-71356-0
isbn_softcover978-3-030-71358-4
isbn_ebook978-3-030-71356-0Series ISSN 2511-1256 Series E-ISSN 2511-1264
issn_series 2511-1256
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-21 22:14:43 | 只看該作者
Robotic Muscular Assistance-As-Needed for Physical and Training/Rehabilitation Tasks: Design and Exin-the-loop (HITL) control directly exploits the subject muscle sEMG signals measures to produce a specified and repeatable muscular response, without the need for human joint torque estimations. A set of experimental tests addressing different assistive tasks are proposed to validate the control de
板凳
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地板
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Toward a Cognitive Control Framework for Explainable Robotics,ework, endowed with a hierarchical representation of tasks, where robot actions and constraints can be directly associated with natural language explanations in order to facilitate the design of novel tasks and the understanding of executing ones. The executive system relies on a cognitive control p
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發(fā)表于 2025-3-22 09:36:34 | 只看該作者
Balancing Exploration and Exploitation: A Neurally Inspired Mechanism to Learn Sensorimotor Conting neural level. We propose a theoretical concept for learning sensorimotor contingencies based on motor babbling with a robotic arm and dynamic neural fields. The robot learns to perform sequences of motor commands in order to perceive visual activation from a baby mobile toy. First, the robot explor
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發(fā)表于 2025-3-22 16:19:27 | 只看該作者
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發(fā)表于 2025-3-22 18:27:34 | 只看該作者
Singularity Avoidance in Human-Robot Collaboration with Performance Constraints, for effective cooperation. Performance constraints is a framework for online calculation of repulsive forces in the task space so that the robot does not allow the human to guide it to singularities. However, this repulsive field is configuration dependent and non-conservative, so energy can be inj
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發(fā)表于 2025-3-23 03:41:44 | 只看該作者
,Modeling Human Motor Skills to Enhance Robots’ Physical Interaction,industrial settings, and for people assistance. A well-studied approach to meet these requirements is to ensure human-like robot motions and interactions. In this manuscript, we present a research approach that moves from the understanding of human movements and derives usefull guidelines for the pl
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發(fā)表于 2025-3-23 08:07:45 | 只看該作者
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