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arXiv Robotics — research abstracts· Seyedali Golestaneh, Zhuoyun Zhong, Donghyung Lee, Constantinos Chamzas·· 1 days agoEditorial score58

AURA: Asymptotically Optimal Uncertainty-Robust Replanning Algorithm for Kinodynamic Systems

AURA: Asymptotically Optimal Uncertainty-Robust Replanning Algorithm for Kinodynamic Systems

Summary

AURA is a meta-planner framework that enhances path quality and tracking performance during execution for kinodynamic systems. It integrates online replanning and optimization to reduce tracking error under motion uncertainty, demonstrating improvements in trajectory quality and performance across simulations and real-world environments.

Source: arXiv Robotics — research abstracts · Read original article ↗

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Source:arXiv Robotics — research abstracts · arxiv.org

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