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Cited by 439

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Design principles for highly efficient quadrupeds and implementation on the MIT Cheetah robot

Seok, Sangok, Wang, Albert, Meng Yee Chuah, Otten, David, Lang, Jeffrey, Kim, Sangbae·2013·2013 IEEE International Conference on Robotics and Automation

Abstract

In this paper, we introduce the design principles for highly efficient legged robots and the implementation of the principles on the MIT Cheetah robot. Three major energy loss modes during locomotion are heat losses through the actuators, losses through the transmission, and the interaction losses that includes all losses of the system interacting with the environment. We propose four design principles that minimize these losses: employment of high torque density motors, low impedance transmission, energy regenerative electronics and a design architecture that minimizes the leg inertia. We present the design features of the MIT cheetah robot as an embodiment of these principles. The resulting cost of transport (COT) is 0.51 during 2.3 m/s running, which rivals running animals in the same scale.

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Metadata

Authors
Seok, S., Wang, A., Chuah, M. Y., Otten, D., Lang, J., & Kim, S.
Venue
2013 IEEE International Conference on Robotics and Automation
Publisher
IEEE
Published
2013-05
Pages
3307-3312
ISSN
1050-4729 (ISSN-L)
OpenAlex
W1979445726
Cited by
439
References
0
FWCI
60.05
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Design principles for highly efficient quadrupeds and implementation on the MIT Cheetah robot. https://app.cochat.ai/papers/10.1109/icra.2013.6631038
The paper
Seok, S., Wang, A., Chuah, M. Y., Otten, D., Lang, J., & Kim, S. (2013). Design principles for highly efficient quadrupeds and implementation on the MIT Cheetah robot. 2013 IEEE International Conference on Robotics and Automation. https://doi.org/10.1109/icra.2013.6631038

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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.