W1 Pro
The W1 Pro is a General Purpose Embodied Intelligence Wheeled Humanoid Robot developed by DexForce Technology, a Shenzhen-based Chinese company founded in 2021. Its second-generation humanoid robot, the W1 Pro stands 163 cm tall and weighs 110 kg with up to 40 degrees of freedom, featuring dual 7-DOF arms with 10 kg per-arm payload and 0.5 mm repeatability. Powered by proprietary 300 TOPS compute, Sim2Real VLA models, and DexSense AI perception, it delivers up to 8 hours of operation per charge and targets industrial automation, logistics, and service applications requiring high-precision manipulation.
Primary use case: Manufacturing
Height
163 cm
Weight
110 kg
DOF
40
Payload
10 kg
Specifications
Physical
Height
163 cm
Weight
110 kg
Degrees of Freedom
40
Locomotion
Wheeled
Max Speed
5.4 km/h
Manipulation
Payload
10 kg
Max Lift/Arm
10 kg
Commercial
Availability
Available
Primary Use Case
Manufacturing
Related news
Chinese startup DexForce trains humanoid robots using virtual data to slash costs
Shenzhen-based Chinese startup DexForce is using synthetic data generated in virtual environments to train humanoid robots, aiming to reduce costs and accelerate progress toward 'physical AGI' compared with labor-intensive real-world data collection. The company, founded in 2021 by CEO Jia Kui, has raised 1 billion yuan ($147M) in a Series B at a 10 billion yuan+ valuation and counts Toyota, Samsung, Panasonic, Foxconn, Haier, and Hisense among its industrial software customers.
DexForce Trains Humanoid Robots With Synthetic Data to Cut Costs - Technology Org
DexForce is using synthetic data to train humanoid robots in order to reduce costs. The headline-sourced snippet provides no further details about the company, its technology, or the specific robots involved.
Chinese startup DexForce trains humanoid robots using virtual data to slash costs
DexForce is using synthetic data from simulated workplaces to train humanoid robots, reducing the cost and repetition of real-world demonstrations before transferring learned behavior to physical machines. The Shenzhen startup says training for physical artificial general intelligence through real-world data alone could require 10 trillion samples, while its software is already used by major manufacturers. Existing backing includes a 1 billion yuan ($147 million) Series B at a valuation above 10 billion yuan, or approximately $1.47 billion.
