en.Wedoany.com Reported - PNDbotics has signed a cooperation agreement with BeingBeyond, an embodied general-purpose foundation model company. The two parties will deeply integrate hardware and intelligence advantages, jointly carry out long-term dataset construction, pre-trained model development, and robot application promotion, accelerating the large-scale deployment of humanoid robots in industrial scenarios.
PNDbotics is a full-stack R&D and manufacturer in the humanoid robot field, continuously deepening core technologies such as gait planning, whole-body motion coordination, and deep reinforcement learning (DRL) motion control. It has achieved full-stack self-developed core components and complete machines, launching the full-size general-purpose humanoid robot Adam Pro and the torso robot Adam U. It has also established dual smart manufacturing centers in Ningbo and Tianjin, accelerating mass production and delivery.
BeingBeyond focuses on embodied general-purpose foundation models, having launched the world-leading, edge-side real-time deployed Being-H general dexterous manipulation large model and Being-M general mobility large model, building a full-stack closed loop covering models, control, manipulation, and hardware adaptation.
PNDbotics and BeingBeyond have achieved phased results in joint R&D. At the upcoming 2026 World Artificial Intelligence Conference (WAIC), the two parties will jointly showcase the Adam-U, an integrated data collection and training platform equipped with BeingBeyond's Being-H model, demonstrating high-difficulty and diverse dexterous manipulation capabilities.
As a benchmark embodiment specifically designed for embodied data collection and grasping training, Adam-U possesses extremely high open adaptability and agile responsiveness to top-tier embodied large models. Being-H, as an embodied world model, has extensively covered complex industrial and service scenarios such as precision assembly, fluid control, and flexible object interaction.
In the future, the two parties will further deepen the "model + embodiment" collaborative innovation, jointly build multi-scenario datasets, optimize edge-side models, create commercial benchmark projects, and accelerate the widespread deployment of humanoid robots in fields such as industrial manufacturing, service reception, and scientific research education.
