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arXiv · 2409.00303

Rapid and Robust Trajectory Optimization for Humanoids

Bohao Zhang·Ram Vasudevan
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Abstract

Performing trajectory design for humanoid robots with high degrees of freedom is computationally challenging. The trajectory design process also often involves carefully selecting various hyperparameters and requires a good initial guess which can further complicate the development process. This work introduces a generalized gait optimization framework that directly generates smooth and physically feasible trajectories. The proposed method demonstrates faster and more robust convergence than existing techniques and explicitly incorporates closed-loop kinematic constraints that appear in many modern humanoids. The method is implemented as an open-source C++ codebase which can be found at https://roahmlab.github.io/RAPTOR/.

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BibTeXRIS

Bohao Zhang, Ram Vasudevan. 2024-08-31. Rapid and Robust Trajectory Optimization for Humanoids. https://arxiv.org/abs/2409.00303

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