Generation of Avoidance Motion for Robots which Coexist and Cooperate with Humans. 2nd Report. Avoidance of Moving Obstacles for Mobile Robots.
Satoshı Tadokoro, Masaki HAYASHI, Yasuhiro Manabe, Yoshihiro NAKAMI, Toshi TAKAMORI
- 发表年份
- 1997
- 引用次数
- 6
- 访问权限
- 开放获取
摘要
This paper presents a trajectory planning method by which human cooperative mobile robots can avoid collision with human bodies. Indefinite human motion is predicted using a stochastic predictor. Evaluation of collision risk and efficiency of trajectory are taken in account in an evaluating function. Optimization using a genetic algorithm gives the robot trajectory. The mobile robots move so as to maximize safety taking into account every possible human motion. Simulation results showed that the robot could determine appropriate trajectories avoiding danger and that reasonable trajectories were generated even if human motion unexpectedly changed.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991