DiVeR: Decision-Critical Verifier Learning for VLA Test-Time Scaling
DiVeR reweights VLA verifier training toward decision-critical states, improving robot task success with little inference overhead.
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Stories tagged #franka
RoboCoach: World Models as Active Coaches for Compositional Robot Skills
RoboCoach uses a world model to target robot skill demos, lifting Franka success from 13.3% to 75%.
Real2Gym: Building Gyms from Videos, Bringing Skills to Robots
Real2Gym turns demonstration videos into physics gyms and transfers learned skills to a Franka robot.
RAPID: Robot Agentic Programming from Demonstrations
RAPID turns one visual human demonstration into verified, reusable robot programs via an agentic coding loop.
Transferring the Intelligence of VLMs to Robotic Control
RoboDawn lets a VLM control robots via discrete commands, beating trained policies zero-shot and one-shot.