Haiyun Hu

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Efficient control strategies for robot systems cannot always be developed by hand, especially when the robot system is operating in an unknown or uncertain environment. In this paper we show how the Reinforcement Learning (RL) technique might be applied to improve the efficiency of a mobile robot in a nuclear decommissioning characterisation, in particular(More)
This paper studies the flocking problem for a multiagent system, where each agent is a vehicle with nonholonomic dynamics. In particular, we consider the case where the agents are subjected to an arbitrarily large communication delay. A distributed low gain control law is derived based on the gradient of an artificial potential function. We demonstrate(More)
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