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Spring 2014 GRASP Seminar: Joelle Pineau, McGill University, "Learning Socially Adaptive Navigation Strategies : Lessons From The SmartWheeler Project"
Presenter: Joelle Pineau (Homepage)
Friday January 31, 2014 from 11:00am to 12:00pm
A key skill for mobile robots is the ability to navigate efficiently through their environment. In the case of social or assistive robots, this involves navigating through human crowds. Typical performance criteria, such as reaching the goal using the shortest path, are not appropriate in such environments, where it is more important for the robot to move in a socially acceptable manner. In this talk I will describe new methods based on imitation and reinforcement learning which we have developed to allow robots to achieve socially adaptive path planning in human environments. Performance of these methods will be illustrated using a smart power wheelchair developed in our group, called the SmartWheeler.
Joelle Pineau is an Associate Professor at the School of Computer Science at McGill University, where she co-directs the Reasoning and Learning Lab. She received her PhD in Robotics from Carnegie Mellon University in 2004. Her research centres on developing efficient algorithms for learning and decision-making in partially observable stochastic domains, and applying these algorithms to complex problems in robotics and health-care.