A method of human-robot collaboration for grinding of workpieces
Jianhua Su, Hong Qiao, Lijin Xu, Ming Wang
- 发表年份
- 2015
- 引用次数
- 3
摘要
This paper presents a strategy of human-robot collaboration in grinding system. A collision-avoidance region, which ensures an operator should not be collision with a robot arm, is firstly detected by tracking the operator motion. Then, a path planning method, which uses control points of NURBS (Non-Uniform Rational B-Splines) to modify the path of the robot, is presented. Hence, whenever a possible collision with the robot and operator is predicted, the robot trajectory could be changed accordingly. Finally, a human-robot collaboration grinding system is built to enable a robot to perform safe grinding operations with the aid of humans.
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