Yard operations emerge as sweet spot for autonomous trucking

ISEE AI is betting that private trucking yards, not highways, represent the most viable near-term market for autonomous vehicles in the industry. The company, founded in 2017 by Yibiao Zhao and Chris Baker after their artificial intelligence research at MIT, initially pursued autonomous long-haul trucking on the Dallas-Houston corridor starting in 2018. Highway operations proved too demanding. Autonomous rigs need fail-operational systems capable of handling countless edge cases at speed while managing 45,000 pounds of kinetic energy, a threshold that remains technically and commercially difficult to clear. Customers steered the company toward yard operations instead. Private property simplifies everything: no traffic laws apply, no pedestrians wander through, speeds stay low, and workers wear safety gear. The regulatory burden almost vanishes compared to public roads. ISEE AI shifted its focus entirely to yard trucking by late 2018. Yard work presents different technical challenges. Autonomous yard trucks spend most of their time backing into dock doors and coupling to trailers. Backing an articulated vehicle is fundamentally unstable, closer to balancing an inverted pendulum than forward driving. But these constraints actually favor autonomous systems over human operators in certain conditions. Lower speeds and controlled environments mean fail-safe, fail-stop architecture replaces the fail-operational demands of highway driving. For fleets, yard automation addresses a chronic pain point: the repetitive, precision work that ties up drivers and creates bottlenecks at distribution centers.