Thomas Pitcher

Reinforcement Learning for Active Search and Grasp in Clutter

This paper presents an Active Search policy that balances between moving the camera and removing occluding objects to search for and retrieve a target object in clutter. While both types of action can reveal unobserved parts of a scene, they typically vary in execution complexity and time. Our propo…