Mobile Robot Laboratory Research Projects

Learning and Adaptation in Autonomous Robotics Systems

Project Directors

Dr. Ashwin Ram.
Dr. Ronald C. Arkin.


This project is investigating two fundamental types of learning mechanisms in intelligent robotics systems: an on-line adaptive component , which allows a system to respond to unexpected situations and learn while engaged in the problem-solving process; and an off-line learning component , which allows a system to reason deeply about its experiences after they have happened, and learn as a result of its analysis. Adaptation is intended to be fast, similarity-based, and reactive, while learning will be slower, case-based and explanation-based, deliberative, and goal-oriented. In other related work, genetic algorithms are being developed to learn reactive control parameters.

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