Experiments with an ecological interface for monitoring tightly-coordinated robot teams
Gal A. Kaminka, Yehuda Elmaliach
- Year
- 2006
- Citations
- 11
Abstract
Many robotics applications require a human operator to monitor multiple robots that collaborate to achieve the operator's goals. Most approaches to such monitoring focus on each robot independently of its peers. When robots are tightly-coordinated, the operator is thus cognitively burdened to build a mental picture of the state of coordination. We report on extensive experiments (approximately 100 hours) with up to 25 human operators, working in two coordinated multi-robot tasks. In these, we contrasted standard displays, which assume each robot is independent, with an ecological socially-attentive display that makes the state of coordination explicit. The results show significant improvements in task completion time, number of failures, and the failure rate. Moreover, the display reduces the variance in operator control, thus leading to significantly more consistent operator performance
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