PokeRRT: A Kinodynamic Planning Approach for Poking Manipulation
Anuj Pasricha, Yi-Shiuan Tung, Bradley Hayes, Alessandro, Roncone

TL;DR
PokeRRT is a new kinodynamic planning algorithm that leverages poking as a non-prehensile manipulation technique to enhance robot manipulation speed and workspace reachability, outperforming pushing and grasping in various environments.
Contribution
The paper introduces PokeRRT, a novel motion planning algorithm that effectively uses poking for manipulation, expanding the capabilities of robots in cluttered and uncluttered spaces.
Findings
PokeRRT outperforms pushing and grasping in trajectory planning.
Poking increases the robot's reachable workspace.
PokeRRT enables faster manipulation in complex environments.
Abstract
This work introduces PokeRRT, a novel motion planning algorithm that demonstrates poking as an effective non-prehensile manipulation skill to enable fast manipulation of objects and increase the size of a robot's reachable workspace. Our qualitative and quantitative results demonstrate the advantages of poking over pushing and grasping in planning object trajectories through uncluttered and cluttered environments.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRobotic Path Planning Algorithms · Robot Manipulation and Learning · Multimodal Machine Learning Applications
