EXPERIMENTAL INVESTIGATIONS OF TRAJECTORY GUIDANCE AND CONTROL FOR DIFFERENTIAL GAMES
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The feedback solutions of Pursuit-Evasion games are of interest for formulating optimal strategies for the players in the game. In this paper feedback solution for a one pursuer and one evader zero-sum game is implemented on planar robots. The solution strategy exploits the differentially flat characteristic of robot models. The feedback strategy is demonstrated on hardware in real time using iRobot Create platforms. The effects of network latency and hardware limitations such as control bounds are studied. Results presented show the extent to which network latency and measurement noise affect the outcome of the game.