ROFeb 9, 2022

PokeRRT: A Kinodynamic Planning Approach for Poking Manipulation

arXiv:2203.04761v11 citations
Originality Incremental advance
AI Analysis

This addresses the problem of efficient non-prehensile manipulation for robotics, though it appears incremental as it builds on existing planning methods.

The paper tackled the problem of enabling fast manipulation and increasing a robot's reachable workspace by introducing PokeRRT, a motion planning algorithm for poking manipulation, with results showing advantages over pushing and grasping in both uncluttered and cluttered environments.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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