Gasgoo Munich-On the opening day of the 26th Asian International Logistics Technology and Transport System Exhibition (CeMAT ASIA 2026), Knewbots—a subsidiary of ThunderSoft—and the Beijing Humanoid Robotics Innovation Center jointly unveiled a full-stack industrial embodied AI platform. Operating on a "single-brain, multi-machine" architecture that integrates various robot forms, the system aims to bridge the critical gap between warehousing and the production line.

Image Credit: Beijing Humanoid
The full-stack platform is built on the integration of two distinct systems. Beijing Humanoid' s general platform, "Huisikaiwu," supplies core capabilities such as embodied large models, cross-body VLA foundation models, and whole-body motion control—handling long-horizon task planning and spatial understanding. Meanwhile, Xiaowu' s industrial platform leverages an industrial-grade real-time kernel and business management system to coordinate multi-vehicle operations and ensure real-time closed-loop intelligence for individual units. Together, they create a full-stack loop spanning from the intelligent foundation to cluster scheduling.
On the show floor, three distinct robot architectures operated in unison under a single scheduling system. Beijing Humanoid' s "Tianyi" series handled precision tasks such as valve core assembly, screw picking, and bin loading and unloading. An FMR forklift managed heavy-duty pallet transport and high-level storage, while under-ride AMRs shuttled between storage zones and workstations to handle racks and totes. The platform orchestrated these tasks to ensure seamless coordination between mobile transport and embodied manipulation.
Targeting high-frequency pain points in industrial logistics and smart manufacturing, the solution covers sectors including automotive, smart logistics, semiconductors, and 3C electronics and home appliances. It addresses labor-intensive bottlenecks—such as end-of-line material delivery from automated storage to line-side racks, shelf-to-station transfers, unsorted picking, and automated loading—by linking material flow into a fully autonomous chain capable of continuous operation.
Since signing a strategic partnership in January 2026, the two companies have repeatedly demonstrated their heterogeneous robot cluster collaboration at major events, including the World Artificial Intelligence Conference, the World Humanoid Robot Games, and the World Robot Conference. Looking ahead, they plan to deliver lightweight, mass-producible robotic cluster solutions for automotive manufacturing, high-end equipment, and smart factories—accelerating the large-scale deployment of industrial embodied AI.









