Angular Center of Mass for Humanoid Robots
@article{Chen2022AngularCO, title={Angular Center of Mass for Humanoid Robots}, author={Yu-Ming Chen and Gabriel M. Nelson and Robert J. Griffin and Michael Posa and Jerry E. Pratt}, journal={ArXiv}, year={2022}, volume={abs/2210.08111} }
The center of mass (CoM) has been widely used in planning and control for humanoid locomotion, because it carries key information about the position of a robot. In contrast, an ''angular center of mass'' (ACoM), which provides an ''average'' orientation of a robot, is less well-known in the community, although the concept has been in the literature for about a decade. In this paper, we introduce the ACoM from a CoM perspective. We optimize for an ACoM on the humanoid robot Nadia, and…
One Citation
Beyond Inverted Pendulums: Task-optimal Simple Models of Legged Locomotion
- Computer ScienceArXiv
- 2023
This work proposes a model optimization algorithm that automatically synthesizes reduced- order models, optimal with respect to any user-specified cost function, and shows in hardware experiment that the optimal ROM is simple enough for real time planning application and that the real robot achieves higher performance by using the optimalROM.
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