This area covers research and development related to micro-robot design, robot learning and intelligence, robot controllers, navigation, vision system, sensor fusion, and reasoning, automation and computer-aided engineering. It utilizes innovative techniques such as computational intelligence and evolutionary computational techniques for developing multi-agent robotic systems, service automated robots, humanoid robots, entertainment robots, autonomous flying robots, artificial creature, intelligent machine, modeling and simulation of dynamic systems. The primary objectives of this robotics laboratory are: to make robots both autonomous and cooperative, to increase the self-sufficiency of existing robots, and to enable robots to accomplish very delicate tasks for industrial, educational, biomedical, and entertainment applications. In order to develop autonomous and cooperative robots, the research focus on vision and image understanding (stereo vision, motion vision, model-based vision), planning (motion planning and task planning), reasoning, machine learning, geometrical modeling, and navigation. The research aims at making robots more dexterous that concentrates on high-level manipulation including dynamic control, force-based control, dexterous hands design and control for force and tactile sensing. This research includes Artificial Intelligence on topics that are important to the future of robotics, including multi-agent reasoning, reactive systems, spatial reasoning, and temporal reasoning.
Cooperative Research and Development Network for Robotics: A COMPETE Capacity and Capability-Building Program in IT and Electronics. Completed in 2001. Funded by DOST-GIA
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