Leveraging multimodal data for intuitive robot control towards human-robot collaborative assembly
Sichao Liu, Lihui Wang, Xi Vicent Wang, Clayton Cooper, Robert X. Gao
- Year
- 2021
- Citations
- 10
Abstract
In human-robot collaborative assembly, robots help human operators complete complex assembly tasks. However, controlling these robots is not intuitive given the constraints posed by the close proximity of the operator. In response to this need, a novel approach using multimodal data is developed for human-centred robot control in human-robot collaborative assembly. An interface design is developed to fuse multimodal communication channels for robust and adaptive robot control and then multimodal data are defined as control input for assembly task execution. This control scheme offers human operators symbiotic multimodal tools for proactive HRC with enhanced flexibility and adaptability.
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