Combined Task and Motion Planning for a Dual-arm Robot to Use a Suction Cup Tool
Hao Chen, Weiwei Wan, Kensuke Harada

TL;DR
This paper introduces a combined task and motion planner for dual-arm robots that efficiently plans complex object manipulation tasks using a suction cup tool, demonstrated through simulations and real-world experiments.
Contribution
It presents a novel integrated planner with three sub-planners for suction pose, regrasp, and motion planning, enabling robust and quick task execution.
Findings
Planner generates sequences in a few seconds.
Demonstrated robustness in real-world tasks.
Efficient handling of complex manipulation sequences.
Abstract
This paper proposes a combined task and motion planner for a dual-arm robot to use a suction cup tool. The planner consists of three sub-planners -- A suction pose sub-planner and two regrasp and motion sub-planners. The suction pose sub-planner finds all the available poses for a suction cup tool to suck on the object, using the models of the tool and the object. The regrasp and motion sub-planner builds the regrasp graph that represents all possible grasp sequences to reorient and move the suction cup tool from an initial pose to a goal pose. Two regrasp graphs are used to plan for a single suction cup and the complex of the suction cup and an object respectively. The output of the proposed planner is a sequence of robot motion that uses a suction cup tool to manipulate objects following human instructions. The planner is examined and analyzed by both simulation experiments and…
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Taxonomy
TopicsRobot Manipulation and Learning · Robotic Path Planning Algorithms · Soft Robotics and Applications
