Feedback Control of the Pusher-Slider System: A Story of Hybrid and Underactuated Contact Dynamics
It addresses challenges in robotic manipulation for tasks involving hybrid and underactuated dynamics, but is incremental as it builds on existing control methods.
This paper tackles the problem of real-time control for a planar pushing system with frictional contact interactions, introducing a model predictive control approach combined with integer programming and the Family of Modes concept to stabilize and re-plan trajectories, validated through simulations and experiments on an industrial robotic arm.
This paper investigates real-time control strategies for dynamical systems that involve frictional contact interactions. Hybridness and underactuation are key characteristics of these systems that complicate the design of feedback controllers. In this research, we examine and test a novel feedback controller design on a planar pushing system, where the purpose is to control the motion of a sliding object on a flat surface using a point robotic pusher. The pusher-slider is a simple dynamical system that retains many of the challenges that are typical of robotic manipulation tasks. Our results show that a model predictive control approach used in tandem with integer programming offers a powerful solution to capture the dynamic constraints associated with the friction cone as well as the hybrid nature of the contact. In order to achieve real-time control, simplifications are proposed to speed up the integer program. The concept of Family of Modes (FOM) is introduced to solve an online convex optimization problem by selecting a set of contact mode schedules that spans a large set of dynamic behaviors that can occur during the prediction horizon. The controller design is applied to stabilize the motion of a sliding object about a nominal trajectory, and to re-plan its trajectory in real-time to follow a moving target. We validate the controller design through numerical simulations and experimental results on an industrial ABB IRB 120 robotic arm.