A digital twin-based frame work for task planning and robot programming in HRC
Weibo Ren, Xiaonan Yang, Yan Yan, Yaoguang Hu, Lixiang Zhang
- Year
- 2021
- Citations
- 9
Abstract
This paper presents a digital twin-based framework for complex assembly tasks in human-robot collaborative assembly system. In this research, the system is developed to support the planning, decision, and implementation of human-robot collaboration. Virtual simulation is applied from task planning to robot control, including assembly task allocation and scheduling, robot trajectory planning and programming. Online optimization is conducted for real-time control based the status of operators and robots from the real production system. An industrial case is presented to validate the performance of the proposed digital twin framework and collaborative assembly system.
Keywords
Related papers
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