Santiago Valdarrama

You can use this open project to connect a model to a simulated robot. Then, you can measure how well the robot completes a task. The basic loop is simple: 1. The model, SenseNova-RoboRSI-27B-Preview, receives a task and images from the robot's cameras. 2. It chooses a movement 3. The simulator executes that movement and returns new observations 4. The model uses that feedback to decide what to do next Some of the model highlights: • Inspects visual details and reasons about spatial relationships • Adjusts actions based on execution feedback • 26.13 average score and 20.83% task success on RoboDojo • 96.1% success rate with direct control on LIBERO-Pro This is pretty useful for comparing models and understanding why a robot failed.