Expanding Safe Sets with Learning-Based Barrier Functions and Reachability
GP-CBF is presented, a learning-based framework for synthesizing and continuously adapting a robust control barrier value function for safe robot navigation in unknown environments, ensuring safety and outperforming existing baselines.
T. Matthews, Maheshwari N. Kumar, Azra Begzadić et al.
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