MemoGuard: Adaptive Runtime Guards Against Memory Traps in Robot Navigation
MemoGuard is a lightweight adaptive runtime system that validates episodic memories against safety contracts before reuse in communication-limited robot navigation. In simulation, MemoGuard reduced battery safety violations by 76.6% compared to similarity-only memory reuse and decreased fallback calls by 21.4% relative to always invoking local reasoning. The system was evaluated on an NVIDIA Jetson AGX Xavier and is open-sourced.
Why it matters: MemoGuard advances the safety and efficiency of autonomous robots operating in mission-critical, communication-limited environments by reducing unsafe memory reuse and computational overhead.
Full story at: arXiv Robotics ↗