China’s humanoid robot makers pivot from ‘body’ to ‘brain’ as commercial race heats up
Chinese humanoid robotics companies like Dobot and UBTech are increasingly focusing on developing intelligent models, or "brains," for their robots as the commercial race intensifies. Dobot announced the delivery of its third batch of mass-produced Atom robots, highlighting its self-developed Dobot-VLA model that enables the robot to autonomously adapt to real-world uncertainties.

Briefing Summary
AI-generatedChinese humanoid robotics companies like Dobot and UBTech are increasingly focusing on developing intelligent models, or "brains," for their robots as the commercial race intensifies. Dobot announced the delivery of its third batch of mass-produced Atom robots, highlighting its self-developed Dobot-VLA model that enables the robot to autonomously adapt to real-world uncertainties. This model allows Atom to understand instructions and make decisions to complete tasks. Similarly, UBTech recently open-sourced Thinker, its large-scale multimodal model designed to address issues like lag and spatial inaccuracy in humanoid robots. These advancements signal a shift towards creating robots capable of more than just pre-programmed actions, aiming for practical applications in industrial settings. Investors are closely watching these developments in robot intelligence as the next step toward widespread commercial use.
Article analysis
Model · rule-basedKey claims
5 extractedThinker is based on a 10 billion parameter model.
UBTech open-sourced Thinker, the company’s large-scale multimodal model designed for humanoid robots.
Dobot delivered its third batch of mass produced, full-size humanoid Atom robots.
Dobot's Dobot-VLA enables Atom to react to uncertainties in the real world.
Atom was expected to “see through” clusters of tasks, “understand” ambiguous instructions and make autonomous decisions.