Chris Morgan

AI is becoming a core enabler of modern material handling systems, allowing OEMs and integrators to move beyond fixed automation toward more adaptive, scalable solutions. Across picking, mobility, and system operations, AI is improving precision, throughput, and flexibility in real-world deployments.

In robotic picking, AI-driven perception and adaptive grasping—paired with intelligent end-of-arm tooling—enable reliable handling of diverse items while reducing mis-picks and damage. For autonomous mobile robots (AMRs), AI-based navigation and planning support safe operation in dynamic, human-populated environments, with real-time route optimization and 24/7 scalability. At the system level, AI-powered predictive analytics help reduce downtime by identifying potential failures before they disrupt operations.

This session will examine how OEMs and integrators are applying AI in production material handling systems, with practical insights into robotic picking and grasping, AMR navigation and fleet behavior, and predictive maintenance. Attendees will gain a clearer understanding of where AI delivers real value today, how these capabilities are engineered and integrated, and what it takes to deploy them at scale.