A human-robot collision avoidance method using a single camera
Ziyang Xie, Lu Lu, Hanwen Wang, Li Li, Edward Fitts, Xu Xu
- 发表年份
- 2022
- 引用次数
- 3
摘要
Human-robot collaboration is a flourishing work configuration in modern plants. Yet, the potentially hazardous collision between human workers and collaborative robots raises safety concerns. In this study, we proposed a collision avoidance method in which a single camera and a computer-vision algorithm were deployed to sense the location of human workers. Two collision avoidance schemes were further developed to determine the timing for robot to retract its arm. Specifically, the static scheme continuously monitors whether a worker is in a hazard zone, while the dynamic scheme predicts worker’s position after a short time, and monitors whether the predicted worker’s position is in a hazard zone. Preliminary validation showed that our proposed method can effectively enable a collaborative robot to retract its arms when a worker is approaching.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002