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Ratbot automatic navigation by electrical reward stimulation based on distance measurement in unknown environments

Liqiang Gao, Chao Sun, Chen Zhang, Nenggan Zheng, Weidong Chen, Xiaoxiang Zheng

Year
2013
Citations
2

Abstract

Traditional automatic navigation methods for bio-robots are constrained to configured environments and thus can't be applied to tasks in unknown environments. With no consideration of bio-robot's own innate living ability and treating bio-robots in the same way as mechanical robots, those methods neglect the intelligence behavior of animals. This paper proposes a novel ratbot automatic navigation method in unknown environments using only reward stimulation and distance measurement. By utilizing rat's habit of thigmotaxis and its reward-seeking behavior, this method is able to incorporate rat's intrinsic intelligence of obstacle avoidance and path searching into navigation. Experiment results show that this method works robustly and can successfully navigate the ratbot to a target in the unknown environment. This work might put a solid base for application of ratbots and also has significant implication of automatic navigation for other bio-robots as well.

Keywords

RobotObstacle avoidanceArtificial intelligenceComputer scienceComputer visionThigmotaxisMobile robotTask (project management)ObstacleRobotics

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