AirCrab: A Hybrid Aerial-Ground Manipulator with An Active Wheel

Inspired by the behavior of birds, we present AirCrab, a hybrid aerial ground manipulator (HAGM) with a single active wheel and a 3-degree of freedom (3-DoF) manipulator. AirCrab leverages a single point of contact with the ground to reduce position drift and improve manipulation accuracy. The single active wheel enables locomotion on narrow surfaces without adding significant weight to the robot. To realize accurate attitude maintenance using propellers on the ground, we design a control allocation method for AirCrab that prioritizes attitude control and dynamically adjusts the thrust input to reduce energy consumption. Experiments verify the effectiveness of the proposed control method and the gain in manipulation accuracy with ground contact. A series of operations to complete the letters ‘NTU’ demonstrates the capability of the robot to perform challenging hybrid aerial-ground manipulation missions.

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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/iros58592.2024.10802472
Citations
4
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
1.00
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article

AirCrab: A Hybrid Aerial-Ground Manipulator with An Active Wheel

Muqing Cao, Lihua Xie, Jiayan Zhao, Xinhang Xu
4 citations
Robotic Path Planning Algorithms
1.00
article

AirCrab: A Hybrid Aerial-Ground Manipulator with An Active Wheel

Muqing Cao, Lihua Xie, Jiayan Zhao, Xinhang Xu
article en
4 citations

Abstract

Inspired by the behavior of birds, we present AirCrab, a hybrid aerial ground manipulator (HAGM) with a single active wheel and a 3-degree of freedom (3-DoF) manipulator. AirCrab leverages a single point of contact with the ground to reduce position drift and improve manipulation accuracy. The single active wheel enables locomotion on narrow surfaces without adding significant weight to the robot. To realize accurate attitude maintenance using propellers on the ground, we design a control allocation method for AirCrab that prioritizes attitude control and dynamically adjusts the thrust input to reduce energy consumption. Experiments verify the effectiveness of the proposed control method and the gain in manipulation accuracy with ground contact. A series of operations to complete the letters ‘NTU’ demonstrates the capability of the robot to perform challenging hybrid aerial-ground manipulation missions.

Nanyang Technological University (SG)
Affordable and clean energy
Openalex Percentile: Top 22%
Robotic Path Planning Algorithms
1.00
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