Abstract:
This paper presents, through simulation and experiment, initial results of using a cognitive architecture for autonomous robotic navigation, including obstacle avoidance ...Show MoreMetadata
Abstract:
This paper presents, through simulation and experiment, initial results of using a cognitive architecture for autonomous robotic navigation, including obstacle avoidance and goal-finding. It demonstrates that, by using a perception-action cycle that incorporates memory, it is possible to achieve effective navigation strategies using a simple set of biologically-inspired control rules.
Published in: 2019 International Radar Conference (RADAR)
Date of Conference: 23-27 September 2019
Date Added to IEEE Xplore: 27 April 2020
ISBN Information:
Contents 