Joshua Joseph

Most U.S. factories were built long before automation was feasible, yet they produce the majority of American manufacturing output — creating both a challenge and an opportunity for Autonomous Mobile Robots (AMRs). These legacy facilities rely heavily on manual material transport, fragmented control systems, and labor-intensive routing, resulting in inefficiencies that limit throughput, safety, and operational flexibility. This session presents a practical, data-driven roadmap for deploying AMRs in legacy manufacturing environments, grounded in pilot programs and scaled deployments at Tesla’s high-volume electric vehicle operations. Rather than treating AMRs as standalone tools, the talk reframes them as infrastructure — a connective layer linking production, logistics, and workforce execution. Attendees will learn how Tesla engineers identified high-friction material flows, defined measurable performance indicators, and integrated robots with existing factory systems such as fleet management software, warehouse systems, PLC-controlled equipment, and real-time analytics dashboards. Thoughtful system integration and human-robot collaboration enabled reliable material delivery with minimal manual intervention — even in environments never designed for autonomy. Beyond technical implementation, the session emphasizes why this matters for U.S. manufacturing: scalable AMR adoption improves productivity, workforce safety, and operational resilience, strengthening American factories’ competitiveness in a global market. Common pitfalls that stall pilots are highlighted, along with strategies for operational ROI modeling, interoperability, workforce adoption, and scaling across multiple production areas. These lessons extend beyond Tesla, providing a replicable framework for any U.S. factory seeking to modernize operations and maintain global competitiveness.