Human-Robot Collision Avoidance Scheme for Industrial Settings Based on Injury Classification-Reference-Cited by-同舟云学术

Human-Robot Collision Avoidance Scheme for Industrial Settings Based on Injury Classification

Published:2021-03-08 Issue: Volume: Page:
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Container-title:Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction
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Author:

Mohammed Mustafa¹,Jeong Heejin¹,Lee Jae Yeol²

Affiliation:

1. University of Illinois at Chicago, Chicago, IL, USA

2. Chonnam National University, Gwangju, Republic of Korea

Funder

Republic of Korea?s Ministry of Science and ICT / IITP

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3434074.3447232

Reference18 articles.

1. Development of a Virtual Force Sensor for a Low-Cost Collaborative Robot and Applications to Safety Control

2. Point cloud based dynamical system modulation for reactive avoidance of convex and concave obstacles," in Proceedings of 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Tokyo;Saveriano M.;Japan,2013

3. Towards Safe Speed and Separation Monitoring in Human-Robot Collaboration with 3D-Time-of-Flight Cameras," in Proceedings of 2018 Second IEEE International Conference on Robotic Computing (IRC), Laguna Hills;Himmelsbach U. B.;CA, USA,2018

4. A Depth Space Approach for Evaluating Distance to Objects

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3. Effect of Human Involvement on Work Performance and Fluency in Human-Robot Collaboration for Recycling;2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI);2022-03-07