An AI Embedded AI Framework for Real‐Time Collision Detection and Navigation in Smart Warehouses Using 2D LiDAR and 6G Communication

ABSTRACT Considering the rapid move to Industry 5.0 and the convergence of 6G communication technology in AI, there is a burgeoning interest on AGV's role for smart warehousing use cases. We propose a novel AI‐enhanced simulation framework with integrating 2D LiDAR based sensing and 6G‐enabled wireless sensor networks to better implement real‐time navigation and collision avoidance. The dynamic environment of a warehouse is modelled, and through a combination of spatial filtering and ray‐casting techniques, along with intelligent communications protocols acquired situation awareness is maximized. Computational load is greatly reduced by AI based signal processing and decision making, with high accuracy of obstacle detection. The platform supports ultra‐low‐latency data transmission as well, and will enable real‐time AGV coordination by simulating edge‐to‐edge communication through future‐ready (6G) wireless technology. This tool not only facilitates safe operations, but also reduces reliance on physical experiments at the early design phases making this a scalable capability for researchers to develop next generation, communication rich, autonomous systems.