Next-gen robots get brain-like navigation to run for days using 90% less power

QUT researchers developed LENS, a revolutionary robot navigation system inspired by the human brain. Using neuromorphic computing and event cameras, it processes visual information efficiently, operating on less than 10% of the energy used by conventional systems. LENS recognizes locations along an 8km route using just 180KB of storage, 300 times smaller than other systems. This breakthrough could extend the range and duration of autonomous robots in applications like disaster response and space exploration.