Yanxiao Chen

Adaptive Wall-Following Control for Unmanned Ground Vehicles Using Spiking Neural Networks

Unmanned ground vehicles operating in complex environments must adaptively adjust to modeling uncertainties and external disturbances to perform tasks such as wall following and obstacle avoidance. This paper introduces an adaptive control approach based on spiking neural networks for wall fitting a