Neuromorphic Computing for Robot Navigation: Why Two Decades of Promises Are Finally Becoming Reality
After decades of unfulfilled promises, neuromorphic computing is finally solving autonomous robot navigation with 100x lower power consumption than traditional AI. The breakthrough comes from addressing three critical barriers that have historically prevented deployment: lack of proper training algorithms for spiking neural networks, poor chip-to-chip scaling, and limited software toolchains.