Consensus Complementarity Control for Multicontact MPC

We propose a hybrid model predictive control algorithm, consensus complementarity control, for systems that make and break contact with their environment. Many state-of-the-art controllers for tasks, which require initiating contact with the environment, such as locomotion and manipulation, require...

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Veröffentlicht in:IEEE transactions on robotics Jg. 40; S. 3879 - 3896
Hauptverfasser: Aydinoglu, Alp, Wei, Adam, Huang, Wei-Cheng, Posa, Michael
Format: Journal Article
Sprache:Englisch
Veröffentlicht: IEEE 2024
Schlagworte:
Cognition
Contact modeling
dexterous manipulation
Heuristic algorithms
Mathematical models
multicontact control
optimization and optimal control
Real-time systems
Robots
Task analysis
Vectors
ISSN:1552-3098, 1941-0468
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Zusammenfassung:We propose a hybrid model predictive control algorithm, consensus complementarity control, for systems that make and break contact with their environment. Many state-of-the-art controllers for tasks, which require initiating contact with the environment, such as locomotion and manipulation, require a priori mode schedules or are too computationally complex to run at real-time rates. We present a method based on the alternating direction method of multipliers that is capable of high-speed reasoning over potential contact events. Via a consensus formulation, our approach enables parallelization of the contact scheduling problem. We validate our results on five numerical examples, including four high-dimensional frictional contact problems, and a physical experimentation on an underactuated multicontact system. We further demonstrate the effectiveness of our method on a physical experiment accomplishing a high-dimensional, multicontact manipulation task with a robot arm.
ISSN:1552-3098
1941-0468
DOI:10.1109/TRO.2024.3435423