Core Insights - A new robotic navigation system has been developed by a team from Queensland University of Technology, which mimics the neural processes of the human brain, achieving brain-like navigation with energy consumption less than 10% of traditional navigation systems [1] Group 1: Technology Development - The new system is called Location Encoding based on Neuromorphic Systems (LENS), setting a new low-energy standard for robotic position recognition [1] - The research team designed algorithms that allow the system to process information in a manner similar to human learning, using electrical pulses to simulate the signal transmission mechanism between real neurons [1]