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You are here: Home / Training / 2014 / Learning Socially Adaptive Navigation Strategies: Lessons from the SmartWheeler Project

Learning Socially Adaptive Navigation Strategies: Lessons from the SmartWheeler Project

Prof. Joelle Pineau, School of Computer Science, McGill University

Learning Socially Adaptive Navigation Strategies:   Lessons from the SmartWheeler Project

What
  • CREATE-MIA Event
  • SOCS Colloquium
  • Seminar
When Sep 26, 2014 02:30 PM to
Dec 26, 2014 03:30 PM
Where McConnell Engineering Rm. 12 (ground floor)
Attendees All CREATE-MIA Trainees
All welcome
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Abstract

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.

Biography

Joelle Pineau is an Associate Professor at the School of Computer Science at McGill University, co-director of the Reasoning and Learning Lab, and member of the Centre for Intelligent Machines (CIM). Before joining McGill in 2004, she received a B.A.Sc. (1998) in Engineering from the University of Waterloo, and an MSc (2001) and PhD (2004) in Robotics from Carnegie Mellon University. Her research focuses on developing new models and algorithms for learning and decision-making in partially observable stochastic domains, and applying these models and algorithms to complex problems in robotics and health-care.

 

With thanks to McGill's School of Computer Science (SOCS) for hosting this event.