MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611114866 A) filed by Chandigarh University on September 25, 2026, for Path Mind: Predictive Crowd-Aware Navigation And Task Coordination System For Service Robots.
Inventors include Ashish Kumar; and Harsh Sharma.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: The present invention relates to a predictive crowd-aware navigation system for mobile service robots operating in dynamic indoor environments. The system integrates multi-sensor perception, including LiDAR, cameras and an inertial measurement unit, with crowd movement prediction, task-priority route planning, motion control, adaptive learning and multi-robot coordination. A crowd prediction module forecasts short-horizon human movement and congestion conditions, while a task-priority path planner selects navigation routes based on predicted congestion, safety, travel considerations and service priorities including food urgency, table waiting time and battery status. A learning engine identifies recurring traffic and peak congestion patterns for subsequent navigation decisions. A communication and coordination arrangement enables multiple robots to coordinate routes and dynamically exchange service tasks through task swapping. Continuous sensing and re-planning enable proactive adaptation to changing environmental conditions, thereby facilitating smoother, more efficient and reliable autonomous service operations in crowded indoor environments.
Disclaimer: Curated by HT Syndication.
