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A decentralized approach using neural HJR learning achieves superior safety and efficiency in multi-arm motion planning, outperforming traditional methods.
Neural motion planners can now navigate complex, multi-room environments with significantly improved robustness by incorporating sparse roadmap guidance as weak supervision.
