AgiBot G2 Max Achieves 80 Cartons Per Hour in JD Logistics Warehouse Pilot

AgiBot has reached a key operational milestone in its enterprise deployment roadmap as its G2 Max humanoid robot begins actively processing inbound inventory inside a JD Logistics warehouse facility. Operating within a goods-to-person workflow, the bipedal unit is tasked with depalletizing heavy inbound cartons before feeding them onto automated conveyance systems.

According to field data from the installation, the G2 Max achieves a throughput rate of 80 boxes per hour while maintaining a task completion success rate above 99%. The metrics provide an early reference benchmark for heavy-payload humanoid labor in fulfillment operations, where consistency and error-free handling are critical to preventing downstream line stoppages.

The deployment highlights an accelerating shift among Chinese logistics operators from single-purpose industrial arms and autonomous mobile robots toward general-purpose bipedal platforms. While standard warehouse automation excels at predictable, high-speed sorting, humanoid form factors like AgiBot units offer the flexibility to navigate existing facility infrastructure without requiring costly capital retrofits.

For warehouse and operations managers, real-world deployment data from high-volume facilities like JD Logistics will dictate the pace of commercial rollout. As AgiBot validates task reliability and mechanical uptime on live warehouse floors, competing logistics networks will face mounting pressure to evaluate humanoid labor against traditional material-handling equipment.