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Push Recovery by stepping for humanoid robots with force controlled joints

Stephens, Benjamin J., Atkeson, Christopher G.·2010·2010 10th IEEE-RAS International Conference on Humanoid Robots

Abstract

In order to interact with human environments, humanoid robots require safe and compliant control which can be achieved through force-controlled joints. In this paper, full body step recovery control for robots with force-controlled joints is achieved by adding model-based feed-forward controls. Push Recovery Model Predictive Control (PR-MPC) is presented as a method for generating full-body step recovery motions after a large disturbance. Results are presented from experiments on the Sarcos Primus humanoid robot that uses hydraulic actuators instrumented with force feedback control.

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Metadata

Authors
Stephens, B. J., & Atkeson, C. G.
Venue
2010 10th IEEE-RAS International Conference on Humanoid Robots
Publisher
IEEE
Published
2010-12
Pages
52-59
OpenAlex
W2153190828
Cited by
206
References
0
FWCI
22.13
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Push Recovery by stepping for humanoid robots with force controlled joints. https://app.cochat.ai/papers/10.1109/ichr.2010.5686288
The paper
Stephens, B. J., & Atkeson, C. G. (2010). Push Recovery by stepping for humanoid robots with force controlled joints. 2010 10th IEEE-RAS International Conference on Humanoid Robots. https://doi.org/10.1109/ichr.2010.5686288

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.