arXiv Machine Learning By Simon Idoko, Prajyot Jadhav, Arun Kumar Singh

Flow-Opt: Scalable Centralized Multi-Robot Trajectory Optimization with Flow Matching and Differentiable Optimization

Read the original on arXiv Machine Learning →

arXiv:2510. 09204v4 Announce Type: replace-cross Abstract: Centralized trajectory optimization in the joint space of multiple robots allows access to a larger feasible space that can result in smoother trajectories, especially while planning in tight spaces.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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