An XR-based Approach to Safe Human-Robot Collaboration

被引:6
作者
Choi, Sung Ho [1 ]
Park, Kyeong-Beom [1 ]
Roh, Dong Hyeon [1 ]
Lee, Jae Yeol [1 ]
Ghasemi, Yalda [2 ]
Jeong, Heejin [2 ]
机构
[1] Chonnam Natl Univ, Gwangju, South Korea
[2] Univ Illinois, Chicago, IL 60607 USA
来源
2022 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS (VRW 2022) | 2022年
关键词
Human-robot collaboration; mixed/extended reality (MR/XR); safety distance;
D O I
10.1109/VRW55335.2022.00106
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
It is crucial to prevent safety accidents for human-robot collaboration. This study proposes an extended reality (XR) approach to safe HRC by calculating the minimum distance between the human operator and robot in real time. The proposed approach scans the real environment with multiple sensors and constructs its virtual space in XR. The virtual robot is synchronized with the real robot by matching the point cloud of real environment with that of the virtual robot. This system can effectively provide task assistance and safety information to the user wearing an XR device.
引用
收藏
页码:472 / 473
页数:2
相关论文
共 6 条
[1]  
[Anonymous], AZURE KINECT DEV KIT
[2]  
[Anonymous], HOLOLENS 2
[3]   An integrated mixed reality system for safety-aware human-robot collaboration using deep learning and digital twin generation [J].
Choi, Sung Ho ;
Park, Kyeong-Beom ;
Roh, Dong Hyeon ;
Lee, Jae Yeol ;
Mohammed, Mustafa ;
Ghasemi, Yalda ;
Jeong, Heejin .
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2022, 73
[4]  
Detectron2, GITHUB
[5]  
Hongyi L., 2021, MANUFACTURING, V67
[6]  
Qian-Yi Zhou., P ECCV 16