Design of a Momentum-Based Control Framework and Application to the Humanoid Robot Atlas

Author:

Koolen Twan1,Bertrand Sylvain2,Thomas Gray3,de Boer Tomas2,Wu Tingfan2,Smith Jesper2,Englsberger Johannes4,Pratt Jerry2

Affiliation:

1. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, USA

2. Institute for Human and Machine Cognition, 40 Alcaniz Street, Pensacola, Florida 32502, USA

3. University of Texas at Austin, 5706 Jeff Davis Ave, Austin, Texas 78756, USA

4. Deutsches Zentrum für Luft und Raumfahrt, Linder Höhe, 51147 Köln, Germany

Abstract

This paper presents a momentum-based control framework for floating-base robots and its application to the humanoid robot “Atlas”. At the heart of the control framework lies a quadratic program that reconciles motion tasks expressed as constraints on the joint acceleration vector with the limitations due to unilateral ground contact and force-limited grasping. We elaborate on necessary adaptations required to move from simulation to real hardware and present results for walking across rough terrain, basic manipulation, and multi-contact balancing on sloped surfaces (the latter in simulation only). The presented control framework was used to secure second place in both the DARPA Robotics Challenge Trials in December 2013 and the Finals in June 2015.

Funder

National Aeronautics and Space Administration (US)

Defense Advanced Research Projects Agency (US)

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Mechanical Engineering

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