Pre-requisites : NIL
Introduction to Mobile robot architectures, Control Paradigms, Sensors and actuators. Learning Approaches for robots. Navigation Strategies, Detecting and handling Novelty. Behavior-based robotics, AlE and their application to robots. Case studies of learning robots, Laboratory sessions will include study and implementations of the above methodologies using real robots.
1. U. Nehmzow, Mobile Robotics - A Practical Introduction, 2nd Ed, Springer, 2003.
2. L. N. de Castro and J. Timmis, Artificial Immune Systems: A New Computational Intelligence Approach, Springer, 2002.
3. D. Dasgupta, Artificial Immune Systems and Their Applications, Springer, 1999.
4. R. C. Arkin, Behaviour Based Robotics, MlT Press, 1998.