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Animation of dynamic legged locomotion

Raibert, Marc H., Hodgins, Jessica K.·1991·Proceedings of the 18th annual conference on Computer graphics and interactive techniques

Abstract

This paper is about the use of control algorithms to animate dynamic legged locomotion. Control could free the animator from specifying the details of joint and limb motion while producing both physically realistic and natural looking results. We implemented computer animations of a biped robot, a quadruped robot, and a kangaroo. Each creature was modeled as a linked set of rigid bodies with compliant actuators at its joints. Control algorithms regulated the running speed, organized use of the legs, and maintained balance. All motions were generated by numerically integrating equations of motion derived from the physical models. The resulting behavior included running at various speeds, traveling with several gaits (run, trot, bound, gallop, and hop), jumping, and traversing simple paths. Whereas the use of control permitted a variety of physically realistic animated behavior to be generated with limited human intervention, the process of designing the control algorithms was not automated: the algorithms were "tweaked" and adjusted for each new creature.

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Metadata

Authors
Raibert, M. H., & Hodgins, J. K.
Venue
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Publisher
ACM
Published
1991-07
Pages
349-358
OpenAlex
W2043878167
Cited by
292
References
0
FWCI
22.02
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Animation of dynamic legged locomotion. https://app.cochat.ai/papers/10.1145/122718.122755
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Raibert, M. H., & Hodgins, J. K. (1991). Animation of dynamic legged locomotion. Proceedings of the 18th annual conference on Computer graphics and interactive techniques. https://doi.org/10.1145/122718.122755

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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.