The virtual worlds where robots are trained

Freddo the robot walks across the office and takes a plastic bottled offered by a staff member.

Given that a robot recently beat Usain Bolt's 100m sprint record, it's not the most startling achievement.

But the speed by which Freddo has been trained to walk, recognise the bottle and grasp it is impressive. It took just a few minutes to develop those skills and upload them to Freddo. His developers say rival systems could take days to attain such skills.

I'm at Vsim, a British start-up based in Cambridge. Founders Michelle Lu and Kier Storey hope one day their software will control robots that can navigate and do useful tasks in the home and workplace.

"It's a weird situation with robotics because actually the stuff that we find as humans to be incredibly difficult, like gymnastics, you can get robots to do reasonably well. The stuff that humans are really good at, like fine dexterity, is really hard in robots," Storey says.

Freddo's skills were honed in a virtual environment, where a task can be performed in a computer simulation millions of times. Once the optimum solution (known as a policy) is found, it can be uploaded and used by the hardware - in this case Freddo.

Such virtual simulations are a common way to train robots. Tech giant Nvidia has a system called Isaac Sim which works that way - Lu and Storey both worked on an early version of it.

In 2022 they decided to set up Vsim, to build the their own training system environment and other tools.