Towards predicting robot team performance
Jacob W. Crandall, Curtis W. Nielsen, Michael A. Goodrich
- 发表年份
- 2004
- 引用次数
- 38
摘要
In this paper we develop a method for predicting the performance of human-robot teams consisting of a single user and multiple robots. To predict the performance of a team, we first measure the neglect tolerance and interface efficiency of the interaction schemes employed by the team. We then describe a method that shows how these measurements can be used to estimate the team's performance. We validate the performance prediction algorithm by comparing predictions to actual results when a user guides three robots in an exploration and goal-finding mission; comparisons are made for various system configurations.
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