Screw Geometry Meets Bandits: Incremental Acquisition of Demonstrations to Generate Manipulation Plans
The method systematically obtains enough human demonstrations for a robot to perform complex tasks by iteratively asking for new examples. It uses screw geometry to check if current plans are possible and a multi-armed bandit optimization to intelligently select which areas of the task space need more demonstrations, ensuring high-confidence manipulation plans.