Interactive Human–Robot Skill Transfer: A Review of Learning Methods and User Experience-Reference-Cited by-同舟云学术

Interactive Human–Robot Skill Transfer: A Review of Learning Methods and User Experience

Published:2021-05-06 Issue:7 Volume:3 Page:2000247
ISSN:2640-4567
Container-title:Advanced Intelligent Systems
language:en
Short-container-title:Advanced Intelligent Systems

Author:

Cansev Mehmet Ege¹,Xue Honghu²,Rottmann Nils²,Bliek Adna¹,Miller Luke E.³,Rueckert Elmar²,Beckerle Philipp¹⁴^ORCID

Affiliation:

1. Elastic Lightweight Robotics Department of Electrical Engineering and Information Technology Robotics Research Institute Technische Universität Dortmund Otto‐Hahn‐Straße 8 44227 Dortmund Germany

2. Institute for Robotics and Cognitive Systems University of Luebeck Ratzeburger Allee 160 23562 Luebeck Germany

3. Donders Centre for Cognition Radboud University Postbus 9104 6500 HE Nijmegen The Netherlands

4. Institute for Mechatronic Systems Mechanical Engineering Technische Universität Darmstadt Otto‐Hahn‐Straße 2 64287 Darmstadt Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aisy.202000247

Reference143 articles.

1. The role of robots in the food industry: a review

2. Simulation of an Optimized Last-Mile Parcel Delivery Network Involving Delivery Robots

3. A Robotic Coach Architecture for Elder Care (ROCARE) Based on Multi-User Engagement Models

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Implementing social and affective touch to enhance user experience in human-robot interaction;Frontiers in Robotics and AI;2024-08-12

2. User Interface Interventions for Improving Robot Learning from Demonstration;International Conference on Human-Agent Interaction;2023-12-04

3. Scalable. Intuitive Human to Robot Skill Transfer with Wearable Human Machine Interfaces: On Complex, Dexterous Tasks;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

4. Human-Robot Arm Interaction Based on Electromyography Signal;2021 14th International Conference on Developments in eSystems Engineering (DeSE);2021-12-07

5. Peripheral Neuroergonomics – An Elegant Way to Improve Human-Robot Interaction?;Frontiers in Neurorobotics;2021-08-20