Brain-Inspired AI Model for Real-Time Spatial Navigation
A Comprehensive Brain-inspired Computational Model for Spatial Navigation
Tags: IIT Madras, India, Transportation & Automotive
IIT Madras has developed a brain-inspired computational model using hierarchical reinforcement learning to enable real-time, seamless spatial navigation for autonomous applications like cars, drones, and underwater vehicles. The model integrates the Basal Ganglia for local navigation and the Hippocampus for global spatial mapping, mimicking human cognitive processes for navigation. This approach handles complex, real-time spatial data more effectively than conventional models. The innovation addresses inefficiencies in hierarchical planning and dynamic navigation across diverse autonomous systems. The patented technology (IN 506437) provides significant advancements for navigation in challenging environments.
IP Type or Form Factor: Patent Granted; Software & Algorithm; Platform
TRL: 3 - proof of concept with needs validated
Industry or Tech Area: Aerospace Aviation; Automobiles Autonomous
