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HM-Nav is presented, a brain-inspired architecture that bridges this cognitive gap by integrating transient sensory inputs with an evolving internal model to enable long-term object navigation and suggests that emulating human-like memory structures is essential for achieving resilient, long-term autonomy in complex, o...
A robust coupled cognitive - physical shared-control framework for human - robot collaboration that guarantees forward invariance of the safe set and bounded closed-loop signals is proposed.
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