Shared Haptic Perception for Human-Robot Collaboration
Kazuki Katayama, María Pozzi, Yoshihiro Tanaka, Kouta Minamizawa, Domenico Prattichizzo
- Year
- 2020
- Citations
- 8
- Access
- Open access
Abstract
Abstract To obtain a fluent human-robot collaboration, reciprocal awareness is fundamental. In this paper, we propose to achieve it by creating a haptic connection between the human operator and the collaborative robot. Data coming from a wearable skin vibration sensor are used by the robot to recognize human actions, and vibrotactile signals are used to inform the human about the correct recognition of her/his actions. It is shown that the proposed communication paradigm, based on shared haptic perception , allows to improve cycle time performance in a complex human-robot collaborative task.
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