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.

MIT News | Massachusetts Institute of Technology