simulation

Amazon's FAR robotics team has unveiled OmniRetarget, a powerful data generation engine that translates human motion into physically realistic trajectories for humanoid robots. The system enables a single human demonstration to be augmented into hours of training data, simplifying reinforcement learning and enabling zero-shot transfer of complex loco-manipulation skills from simulation to a real Unitree G1 robot.

Following a week of reveals about its new Redwood AI, robotics firm 1X has detailed its latest tool: an 'action-controllable' world model. The system acts as a high-fidelity simulator, allowing the company to predict the outcomes of its NEO robot's actions and rapidly evaluate AI performance without costly, time-consuming physical trials.