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• Robot perception using non-visual sensors including sensor modelling and signal processing • General introduction to robot modelling, sensing, planning, and control • Practical implications and effects of various actuators, electro-mechanical drives, and sensors • Motion control algorithms (e.g. positional control, torque control, force control, impedance control, and gravity compensation) • Motion and trajectory planning • Case studies (e.g. robot manipulator arm, humanoid robot locomotion) • Machine learning techniques for motion control • High level software control of robot motion
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