Vision Controlled Humanoid Robot Tool-kit

Abstract. This paper introduces a novel parallelised vision based intelligent controller for a Humanoid Robot system. This intelligent controller is simulated dynamically and its performance evaluated for a standard benchmark problem. The parallel nature of the simulation architecture which can separate the image processing and control algorithms allows the simulation to progress in real-time or faster than real-time. This allows automated control algorithms using neural network or evolutionary algorithms to be efficiently and effectively developed.

Abstract Stereo Vision Controlled Humanoid Robot Tool-kit

This paper introduces a novel stereo vision based simulation system for a Humanoid Robot. This stereo vision system and robot controller is simulated dynamically and its performance evaluated for a standard humanoid robot benchmark problem. The vision system presented has been tested by simulating the dynamics of the robot system as well as the image processing subsystem. The real-time image processing and control algorithms allow the unstable dynamic model of the biped robot to be controlle