Summary
- SHENZHEN: Chinese robotics startup DexForce is betting that training humanoid robots in virtual environments could dramatically reduce development costs and accelerate the arrival of machines capable of performing complex tasks in the real world.
- The Shenzhen-based company is using artificial intelligence (AI) software to teach robots how to handle objects, navigate environments and complete industrial tasks through computer-generated simulations rather than relying entirely on expensive, time-consuming real-world training.
- Physical artificial general intelligence refers to the potential ability of robots to understand unfamiliar environments, adapt to changing conditions and complete new tasks when instructed.
AI Generated Summary
SHENZHEN: Chinese robotics startup DexForce is betting that training humanoid robots in virtual environments could dramatically reduce development costs and accelerate the arrival of machines capable of performing complex tasks in the real world.
The Shenzhen-based company is using artificial intelligence (AI) software to teach robots how to handle objects, navigate environments and complete industrial tasks through computer-generated simulations rather than relying entirely on expensive, time-consuming real-world training.
At DexForce’s headquarters, virtual robots can be seen repeatedly arranging objects on a table while the software changes the position of their arms, the colour of the surface and the objects involved. The process helps train machines to adapt to different situations before they encounter them in physical workplaces.
The approach targets one of the biggest challenges facing the humanoid robotics industry: developing machines that can reliably perform useful work in factories, offices and homes without constant human assistance.








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