%0 Journal Article %A Dejanira Araiza-Illan and Tony J. Dodd %D 2010 %J International Journal of Mechanical and Mechatronics Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 44, 2010 %T Biologically Inspired Controller for the Autonomous Navigation of a Mobile Robot in an Evasion Task %U https://publications.waset.org/pdf/1689 %V 44 %X A novel biologically inspired controller for the autonomous navigation of a mobile robot in an evasion task is proposed. The controller takes advantage of the environment by calculating a measure of danger and subsequently choosing the parameters of a reinforcement learning based decision process. Two different reinforcement learning algorithms were used: Qlearning and Sarsa (λ). Simulations show that selecting dynamic parameters reduce the time while executing the decision making process, so the robot can obtain a policy to succeed in an escaping task in a realistic time. %P 750 - 755