Artificial intelligence (ai)-based system for autonomous navigation of robotic devices in dynamic human-centric environments and method thereof

Abstract

An artificial intelligence (AI)-based system and method for autonomous navigation of robotic devices in dynamic human-centric environments are disclosed. The AI-based system comprises an object tracking subsystem, a probabilistic estimation subsystem, a socially compliant behavior subsystem, a constrained space navigation subsystem, a commands processing subsystem, a virtual cost-map layer subsystem, and a path-planning subsystem. The AI-based system obtains sensor data using sensors. The AI-based system employs artificial intelligence (AI) models and machine learning (ML) models for computing probabilistic position data and generating convex hulls. The AI-based system generates high-cost zones for identifying boundaries associated with groups to plan navigation paths. The AI-based system generates waypoints for the robotic devices based on detecting constrained spaces in the dynamic human-centric environments by analyzing the sensor data. The AI-based system extracts navigational insights based on processing natural language commands and adaptively selects the navigation paths for autonomous navigation of the robotic devices.