Virtual Worlds Accelerate Robot Learning

⊲ BBC News ⊳ UK start-up Vsim, founded in 2022 by Lu and Storey after early work on Nvidia’s Isaac Sim, uses high-speed GPU-optimised simulation to train robots in minutes rather than days. Its robot Freddo rehearses millions of actions digitally, running around 20,000 one-second simulations while moving, before applying the selected behaviour physically. Nvidia and Google DeepMind are pursuing similar tools, though reproducing real-world physics remains difficult, a challenge that could determine how quickly robots adapt safely to unpredictable homes and workplaces.
⊲ Freddo running 20,000 simulations while moving is impressive, yet the article’s admission that real-world physics remains difficult suggests wider deployment will be gradual. ⊳
⊲ Featured Image – BBC ⊳
⊲ www.simulation.news ⊳