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Improving human robot collaboration through Force/Torque based learning for object manipulation

  • Published:2021-06 Issue: Volume:69 Page:102111
  • ISSN:0736-5845
  • Container-title:Robotics and Computer-Integrated Manufacturing
  • language:en
  • Short-container-title:Robotics and Computer-Integrated Manufacturing

Author:

Al-Yacoub A.ORCID,Zhao Y.C.,Eaton W.,Goh Y.M.,Lohse N.

Funder

Engineering and Physical Sciences Research Council

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference39 articles.

1. Adaptive optimal control for coordination in physical human-robot interaction;Li,2015

2. Learning manipulation tasks from human demonstration and 3d shape segmentation;Aleotti;Adv. Robot.,2012

3. Human-robot collaborative manipulation planning using early prediction of human motion;Mainprice,2013

4. Variable impedance control of a robot for cooperation with a human;Ikeura,1995

5. Dynamic control for robot-human collaboration;Kosuge,1993

Cited by 45 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. Exploring Transformers and Visual Transformers for Force Prediction in Human-Robot Collaborative Transportation Tasks;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Multimodal perception-fusion-control and human–robot collaboration in manufacturing: a review;The International Journal of Advanced Manufacturing Technology;2024-03-23

3. Voice Command Recognition for Explicit Intent Elicitation in Collaborative Object Transportation Tasks: a ROS-based Implementation;Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction;2024-03-11

4. RLNN: A force perception algorithm using reinforcement learning;Multimedia Tools and Applications;2024-01-03

5. New classification of industrial robotic gripping systems for sustainable production;Scientific Reports;2024-01-02
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