A stochastic algorithm for explorative goal seeking extracted from cockroach walking data
Kathryn A. Daltorio, Brian R. Tietz, John A. Bender, Victoria A. Webster‐Wood, Nicholas S. Szczecinski, Michael S. Branicky, Roy E. Ritzmann, Roger D. Quinn
- 发表年份
- 2012
- 引用次数
- 11
摘要
Cockroach shelter-seeking strategy may look like an undirected random search, but we show that they are attracted to darkened shelters, arriving at a shelter in about half the time it would otherwise take. We were able to identify four statistically significant trends from the behavior of 134 cockroaches in one-minute naïve walking trials with four different arena configurations. By combining these trends into a model, we arrive at an algorithm that significantly directs a simulated agent to a location. This algorithm was then adapted and tested on a small mobile robot equipped with an onboard camera and antenna-like contact sensors.
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