Gait and Trajectory Optimization for Legged Systems Through Phase-Based End-Effector Parameterization

We present a single trajectory optimization formulation for legged locomotion that automatically determines the gait sequence, step timings, footholds, swing-leg motions, and six-dimensional body motion over nonflat terrain, without any additional modules. Our phase-based parameterization of feet mo...

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Published in:IEEE robotics and automation letters Vol. 3; no. 3; pp. 1560 - 1567
Main Authors: Winkler, Alexander W., Bellicoso, C. Dario, Hutter, Marco, Buchli, Jonas
Format: Journal Article
Language:English
Published: Piscataway IEEE 01.07.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:2377-3766, 2377-3766
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Abstract We present a single trajectory optimization formulation for legged locomotion that automatically determines the gait sequence, step timings, footholds, swing-leg motions, and six-dimensional body motion over nonflat terrain, without any additional modules. Our phase-based parameterization of feet motion and forces allows to optimize over the discrete gait sequence using only continuous decision variables. The system is represented using a simplified centroidal dynamics model that is influenced by the feet's location and forces. We explicitly enforce friction cone constraints, depending on the shape of the terrain. The nonlinear programming problem solver generates highly dynamic motion plans with full flight phases for a variety of legged systems with arbitrary morphologies in an efficient manner. We validate the feasibility of the generated plans in simulation and on the real quadruped robot ANYmal. Additionally, the entire solver software TOWR, which used to generate these motions is made freely available.
AbstractList We present a single trajectory optimization formulation for legged locomotion that automatically determines the gait sequence, step timings, footholds, swing-leg motions, and six-dimensional body motion over nonflat terrain, without any additional modules. Our phase-based parameterization of feet motion and forces allows to optimize over the discrete gait sequence using only continuous decision variables. The system is represented using a simplified centroidal dynamics model that is influenced by the feet's location and forces. We explicitly enforce friction cone constraints, depending on the shape of the terrain. The nonlinear programming problem solver generates highly dynamic motion plans with full flight phases for a variety of legged systems with arbitrary morphologies in an efficient manner. We validate the feasibility of the generated plans in simulation and on the real quadruped robot ANYmal. Additionally, the entire solver software TOWR, which used to generate these motions is made freely available.
Author Bellicoso, C. Dario
Hutter, Marco
Winkler, Alexander W.
Buchli, Jonas
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  fullname: Hutter, Marco
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  organization: Robot. Syst. Lab., ETH Zurich, Zurich, Switzerland
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  givenname: Jonas
  surname: Buchli
  fullname: Buchli, Jonas
  email: buchlij@ethz.ch
  organization: Agile & Dexterous Robot. Lab., ETH Zurich, Zurich, Switzerland
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Snippet We present a single trajectory optimization formulation for legged locomotion that automatically determines the gait sequence, step timings, footholds,...
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SubjectTerms Computer simulation
Continuity (mathematics)
Dynamics
Foot
Force
Gait
humanoid and bipedal locomotion
Legged locomotion
Legged robots
Locomotion
Morphology
motion and path planning
Nonlinear programming
optimization and optimal control
Parameterization
Terrain
Trajectory optimization
Title Gait and Trajectory Optimization for Legged Systems Through Phase-Based End-Effector Parameterization
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