2013 | OriginalPaper | Buchkapitel
Manipulation with Multiple Action Types
verfasst von : Jennifer Barry, Kaijen Hsiao, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Erschienen in: Experimental Robotics
Verlag: Springer International Publishing
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We present DARRT, a sampling-based algorithm for planning with multiple types of manipulation. Given a robot, a set of movable objects, and a set of actions for manipulating the objects, DARRT returns a sequence of manipulation actions that move the robot and objects from an initial configuration to a final configuration. The manipulation actions may be non-prehensile,meaning that the object is not rigidly attached to the robot, such as push, tilt, or pull. We describe a simple extension to the RRT algorithm to search the combined space of robot and objects and present an implementation of DARRT on the Willow Garage PR2 robot.