Digital Twin based Test- and Verify Framework of Human-Robot Collaboration Solutions-Reference-Cited by-同舟云学术

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Digital Twin based Test- and Verify Framework of Human-Robot Collaboration Solutions

Published:2024-05-20 Issue: Volume:abs/2302.07577 Page:13-18
ISSN:
Container-title:2024 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)
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Author:

He Chengxiao¹,Fan Liuqun¹,Xiao Yang²,Han Ziqi³,Luo Zicheng³,Ge Chang⁴,Lv Muyang⁵

Affiliation:

1. School of Mechanical Engineering at Tongji University, No. 1239, Siping Road,Shanghai,China

2. School of Mechanical Engineering at Tongji University

3. Tongji University

4. Robot Test Engineer at Shanghai Robot Industrial Technology Research Institute

5. School of Mechanical Engineering at Tongji University, and at Global Advanced Manufacturing Institute

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10557745/10557747/10557798.pdf?arnumber=10557798

Reference23 articles.

1. Robots and robotic devices. Collaborative robots

2. Robots and robotic devices. Safety requirements for industrial robots

3. Biomechanische Grenzwerte für die sichere Mensch-Roboter-Kollaboration

4. Kriterien für die Mensch-Maschine-Interaktion bei KI[J];Huchler;Ansätze für die menschengerechte Gestaltung in der Arbeitswelt. Whitepaper aus der Plattform Lernende Systeme, München,2020

5. Robots and robotic devices. Safety requirements for personal care robots

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