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Skild reports real-world soccer play after more than 140 years of simulated self-play. Its published account details human-referenced drills before the goal-driven self-play stage.
On Day 4 of AI Week, AGIBOT transitions from modeling the world to generating interactive environments where embodied agents can evolve autonomously.
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.
