RONov 17, 2021

Multi-Robot Object Transport Motion Planning with a Deformable Sheet

arXiv:2111.09046v431 citations
Originality Incremental advance
AI Analysis

This work addresses a challenging task in robotics for applications like logistics or manufacturing, but it appears incremental as it builds on existing motion planning with a new modeling approach.

The paper tackles the problem of modeling object-sheet interactions for multi-robot object transport using a deformable sheet, proposing a virtual variable cables model (VVCM) and motion planner that effectively handles 3D cluttered environments in simulations and experiments with various robot team sizes.

Using a deformable sheet to handle objects is convenient and found in many practical applications. For object manipulation through a deformable sheet that is held by multiple mobile robots, it is a challenging task to model the object-sheet interactions. We present a computational model and algorithm to capture the object position on the deformable sheet with changing robotic team formations. A virtual variable cables model (VVCM) is proposed to simplify the modeling of the robot-sheet-object system. With the VVCM, we further present a motion planner for the robotic team to transport the object in a three-dimensional (3D) cluttered environment. Simulation and experimental results with different robot team sizes show the effectiveness and versatility of the proposed VVCM. We also compare and demonstrate the planning results to avoid the obstacle in 3D space with the other benchmark planner.

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