Skild AI just applied AlphaGo-style self-play to humanoid robots using its S1 model. Trained inside NVIDIA's Isaac Sim with the single goal of scoring, the system simulated 140 years of matches to master dribbling and tackling before successfully transferring into a physical robot.
Nvidia just open-sourced Lyra 2.0, a lightweight 131MB framework that converts video clips into persistent, interactive 3D Gaussian splat environments. It eliminates temporal drift and spatial forgetting over long trajectories, allowing exported scenes to directly feed into Isaac Sim for training autonomous robots.
NVIDIA just announced a full suite of services, models, and computing platforms for humanoid robot developers at SIGGRAPH. Key additions include new NIM microservices for synthetic motion data, an OSMO orchestration cloud service that cuts development cycles from months to under a week, and a teleoperation workflow using Apple Vision Pro to turn tiny amounts of human demonstration into massive training data. Early access is now open via NVIDIA's developer program.
NVIDIA just brought its Isaac Sim robotics platform and L40S GPUs to AWS, offering a 2x simulation speedup over the previous-gen A40. The move lets developers spin up preconfigured cloud virtual machines to generate synthetic training data and test robots virtually before deploying in physical warehouses.
Nvidia just rolled out a major update to its Isaac Sim robotics platform. The tool can now simulate human workers walking around warehouses and stacking boxes, giving robot AI a safe sandbox to practice avoiding collisions before hitting real factory floors. The release also brings RTX-simulated LiDAR alongside a new Isaac ORBIT tool for robotic arm manipulation.
