AI system keeps warehouse robot traffic running smoothly. MIT researchers and Symbotic developed a method using deep reinforcement learning that automatically coordinates hundreds of warehouse robots, prioritizing those about to get stuck to avoid bottlenecks. In simulations, the approach achieved about 25% throughput gain over other methods. https://news.mit.edu/2026/ai-system-keeps-warehouse-robot-traffic-running-smoothly-0326 #AIagent #AI #GenAI #AIResearch #MIT

AI system learns to keep warehouse robot traffic running smoothly
A new system increases throughput in automated warehouses by adaptively determining which robots should go first to avoid congestion and collisions. The work was led by researchers from MIT and Symbotic.