ELA+: Goal-oriented navigation with obstacle avoidance for rescue robots
Hae Kwan Jeong, Kyung Hak Hyun, Yoon Keun Kwak
- Year
- 2009
- Citations
- 3
Abstract
This paper describes development and demonstration of an obstacle avoidance algorithm termed ELA+ that is adaptable to rescue robots. ELA+ consists of two routines; one related to goal-oriented intention and the other to standing rotation for steering. In ELA+, autonomous navigation based on ELA (Emergency Level Around) proceeds until a goal is reached, and goal-oriented navigation with ELA then follows. It was assumed that the tested scenario was similar to an actual disaster situation, and ELA+ was shown to be able to avoid obstacles located in a 2D virtual space. Simulation results show that ELA+ is able to guide a robot successfully to a goal using only bearing information, even when the distance to the goal and the localization are not prepared.
Keywords
Related papers
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