Title:
Reactive Manipulation with Contact Models and Tactile Feedback

Abstract:
This thesis focuses on closing the loop in robotic manipulation, moving towards robots that can better perceive their environment and react to unforeseen situations. Humans effectively process and react to information from visual and tactile sensing, however robots often remain programmed in an openloop fashion, and struggle to correct their motion based on detected errors.

We begin our work by developing fullstate feedback controllers for dynamical systems involving frictional contact interactions. Hybridness and underactuation are key characteristics of these systems that complicate the design of feedback controllers. We design and experimentally validate the controllers on a planar manipulation system where the purpose is to control the motion of a sliding object on a flat surface using a robotic pusher. We extend this work to partially observable systems, by developing closedloop tactile controllers for dexterous manipulation with dualarm robotic palms. We introduce Tactile Dexterity, an approach to dexterous manipulation that plans for robot/object interactions that render interpretable tactile information for control. Key to this formulation is the decomposition of manipulation plans into sequences of manipulation primitives with simple mechanics and efficient planners.