Safe Learning in Robotics - DLS Talk by Claire Tomlin, UC Berkeley

Date: 
Thursday, September 28, 2017 | 3:30pm - 5:00pm
Location: 
Hugh Dempster Building (6245 Agronomy Rd), Room 110

Speaker:  Claire Tomlin, Professor, UC Berkeley

Title:  Safe Learning in Robotics

Host:  Ian Mitchell, UBC Computer Science

Abstract: 

A great deal of research in recent years has focused on robot learning.  In many applications, guarantees that specifications are satisfied throughout the learning process are paramount. For the safety specification, we present a controller synthesis technique based on the computation of reachable sets, using optimal control and game theory.  In the first part of the talk, we will review these methods and their application to collision avoidance and avionics design in air traffic management systems, and networks of manned and unmanned aerial vehicles.  In the second part, we will present a toolbox of methods combining reachability with data-driven techniques inspired by machine learning, to enable performance improvement while maintaining safety. We will illustrate these “safe learning” methods on a quadrotor UAV experimental platform which we have at Berkeley.

Bio: 

Claire Tomlin is the Charles A. Desoer Professor of Engineering in EECS at Berkeley.  She was an Assistant, Associate, and Full Professor in Aeronautics and Astronautics at Stanford from 1998 to 2007, and in 2005 joined Berkeley.  Claire works in the area of control theory and hybrid systems, with applications to air traffic management, UAV systems, energy, robotics, and systems biology.  She is a MacArthur Foundation Fellow (2006), an IEEE Fellow (2010), and an AIMBE Fellow (2016). 

This seminar is proudly sponsored by:

 

 


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