The virtual worlds where robots are trained
Summary
A British start-up called Vsim has developed software that quickly trains robots to do tasks by using virtual simulations. Their robot, Freddo, learned to walk and pick up a bottle within minutes, much faster than other systems that take days. This training relies on powerful computer chips called GPUs and helps robots adapt safely to changing environments.Key Facts
- Vsim is a start-up based in Cambridge, UK, founded by Michelle Lu and Kier Storey.
- Freddo the robot learned to walk, recognize, and grasp a plastic bottle in just a few minutes.
- Vsim’s software trains robots in virtual environments by running millions of simulations to find the best way to complete tasks.
- The company optimized older robot training algorithms to work efficiently with GPUs, the computer chips used in AI.
- Freddo can run tens of thousands of simulations in real time while moving, helping it anticipate many possible future situations.
- This ability to predict and adapt is important for robots working in places like homes where unexpected things happen.
- Nvidia, a large tech company, also offers robot simulation and training software but Vsim focuses on making it faster and more efficient.
- Nvidia's software includes a “world model” called Cosmos that helps robots understand physics and how environments change around them.
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