Gasgoo Munich- PNDbotics recently signed a cooperation agreement with BeingBeyond, a developer of embodied general foundation models. The two plan to deeply integrate hardware and AI capabilities, collaborating long-term on dataset construction, pre-training model development, and robot application promotion. Together, they aim to accelerate the large-scale deployment of humanoid robots across industrial scenarios.
PNDbotics is a full-stack developer and manufacturer in the humanoid robotics space. By honing core technologies such as gait planning, whole-body motion coordination, and Deep Reinforcement Learning (DRL) motion control, the company has achieved full-stack in-house development of both core components and complete machines. It has launched the full-size general humanoid robot Adam Pro and the half-body robot Adam U. With dual smart manufacturing centers established in Ningbo and Tianjin, the company is now accelerating mass production and delivery.
Image Source: PNDbotics
BeingBeyond, meanwhile, specializes in embodied general foundation models. The company has introduced the globally leading Being-H general dexterous manipulation large model and the Being-M general mobile large model, both capable of real-time edge deployment. Together, they form a full-stack closed loop spanning modeling, control, operation, and hardware adaptation.
The two companies have already achieved phased results through their joint R&D. At the upcoming 2026 World Artificial Intelligence Conference (WAIC), they plan to unveil Adam-U equipped with BeingBeyond’s Being-H model. The robot serves as an integrated data acquisition and training platform, demonstrating high-difficulty, diverse dexterous manipulation capabilities.
Designed as a benchmark platform for embodied data acquisition and grasping training, Adam-U offers exceptional openness and agile responsiveness to top-tier embodied large models. Being-H, functioning as an embodied world model, already covers a wide range of complex industrial and service scenarios, including fine assembly, fluid control, and flexible object interaction.
Looking ahead, the pair will deepen their "model plus body" collaborative innovation. They plan to jointly build multi-scenario datasets, optimize edge-side models, and establish commercial benchmark projects, all aimed at accelerating the widespread adoption of humanoid robots in industrial manufacturing, customer service, scientific research, and education.
