Learning Robust Skills for Tightly Coordinated Arms in Contact-Rich Tasks-Reference-Cited by-同舟云学术

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Learning Robust Skills for Tightly Coordinated Arms in Contact-Rich Tasks

Published:2024-03 Issue:3 Volume:9 Page:2973-2980
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Fan Yaowei¹^ORCID,Li Xinge¹,Zhang Kaihang¹^ORCID,Qian Chen²^ORCID,Zhou Fanghao³^ORCID,Li Tiefeng¹^ORCID,Huang Zhilong¹^ORCID

Affiliation:

1. Department of Engineering Mechanics, Center for X-Mechanics, Zhejiang University, Hangzhou, China

2. Zhejiang Laboratory, Interdisciplinary Innovation Research Centers, Intelligent Robotic Research Center, Hangzhou, China

3. State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7083369/10409903/10415483.pdf?arnumber=10415483

Reference24 articles.

1. Hoplites: A Market-Based Framework for Planned Tight Coordination in Multirobot Teams

2. A symmetric hybrid position/force control scheme for the coordination of two robots

3. Coordinated Dynamic Hybrid Position/Force Control for Multiple Robot Manipulators Handling One Constrained Object

4. Six-DOF Impedance Control of Dual-Arm Cooperative Manipulators

5. Biomimetic object impedance control for dual-arm cooperative 7-DOF manipulators

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