Robots could learn to predict, plan navigation with new ‘bio-inspired’ framework
SMRTR summary
Chinese scientists have built a "bio-inspired" navigation framework that teaches robots to think like maze-running mice — recognizing landmarks, storing compressed memories, and adapting to changing environments. Paired with energy-efficient neuromorphic hardware, robots could soon navigate unpredictable real-world settings, like disaster zones, without relying on rigid pre-programmed maps.
SMRTR provides this summary for quick context. The original article belongs to Interesting Engineering.
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