When to make a step? Tackling the timing problem in multi-contact locomotion by TOPP-MPC

Stéphane Caron, Quang-Cuong Pham. Humanoids 2017, Birmingham, United Kingdom, November 2017.

Abstract

We present a model predictive controller (MPC) for multi-contact locomotion where predictive optimizations are realized by time-optimal path parameterization (TOPP). A key feature of this solution is that, contrary to existing planners where step timings are provided as inputs, here the timing between contact switches is computed as output of a fast nonlinear optimization. This is appealing to multi-contact locomotion, where proper timings depend on terrain topology and suitable heuristics are unknown. We show how to formulate legged locomotion as a TOPP problem and demonstrate the behavior of the resulting TOPP-MPC controller in simulations with a model of the HRP-4 humanoid robot.

Video

Presentation

pdf Poster 1 — Linear MPC for Multi-contact Walking (recap of previous work)
pdf Poster 2 — MPC by Time-optimal Retiming (this paper)
pdf Poster 3 — Nonlinear MPC for Dynamic Walking (later work, better behavior)
pdf Poster 4 — Boundedness MPC in 3D (latest works, still ongoing!)

BibTeX

@inproceedings{caron2017humanoids,
  title = {When to make a step? Tackling the timing problem in multi-contact locomotion by TOPP-MPC},
  author = {Caron, St{\'e}phane and Pham, Quang-Cuong},
  booktitle = {Humanoid Robots, 2017 IEEE-RAS International Conference on},
  year = {2017},
  month = {November},
  url = {https://hal.archives-ouvertes.fr/hal-01363757}
}
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