Towards Fully Integrated Autonomous Excavation: Autonomous Excavator for Precise Earth Cutting and Onboard Landscape Inspection

Autonomous excavator systems can alleviate the issues caused by the shortage of skilled labor forces and increasing labor costs. For autonomous excavation, real-time landscape estimation, excavation path generation, control, and precise landscape inspection are all essential. In this article, we propose and experimentally validate an integrated autonomous excavator system incorporating all these elements. Specifically, unlike previous research, we introduce a sensor arrangement capable of sufficiently covering the regions of interest regardless of the inclination of the target landscape, a motion planning method that satisfies geometric and physical constraints, and a precise postexcavation inspection module using only onboard sensors. The proposed methodology was experimentally validated using a real 30-ton hydraulic excavator. It successfully performed a cutting task on an upward slope with 45° inclination and achieved a centimeter-level accuracy through autonomous repetitive excavation; also, the proposed postexcavation inspection method demonstrated subcentimeter precision within seconds using onboard sensors only.

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Publication Details

Journal
IEEE Robotics & Automation Magazine
Published
2024-09-30
DOI
https://doi.org/10.1109/mra.2024.3400772
Citations
1
Primary Topic
Tunneling and Rock Mechanics
Type
article
Field-Weighted Citation Impact
0.26
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article

Towards Fully Integrated Autonomous Excavation: Autonomous Excavator for Precise Earth Cutting and Onboard Landscape Inspection

Inkyu Jang, Young‐Bum Kim, Changsuk Oh, H. Jin Kim et al.
1 citations
IEEE Robotics & Automation Magazine
Tunneling and Rock Mechanics
0.26
article

Towards Fully Integrated Autonomous Excavation: Autonomous Excavator for Precise Earth Cutting and Onboard Landscape Inspection

Inkyu Jang, Young‐Bum Kim, Changsuk Oh, H. Jin Kim, Changhyeon Kim, Dongjae Lee, Junha Kim, Ho-Yoon Sung, Sangwook Woo
article en
1 citations

Abstract

Autonomous excavator systems can alleviate the issues caused by the shortage of skilled labor forces and increasing labor costs. For autonomous excavation, real-time landscape estimation, excavation path generation, control, and precise landscape inspection are all essential. In this article, we propose and experimentally validate an integrated autonomous excavator system incorporating all these elements. Specifically, unlike previous research, we introduce a sensor arrangement capable of sufficiently covering the regions of interest regardless of the inclination of the target landscape, a motion planning method that satisfies geometric and physical constraints, and a precise postexcavation inspection module using only onboard sensors. The proposed methodology was experimentally validated using a real 30-ton hydraulic excavator. It successfully performed a cutting task on an upward slope with 45° inclination and achieved a centimeter-level accuracy through autonomous repetitive excavation; also, the proposed postexcavation inspection method demonstrated subcentimeter precision within seconds using onboard sensors only.

IEEE Robotics & Automation MagazineVol. 32(3)
Seoul National University (KR), Samsung (South Korea) (KR), Hyundai Engineering (South Korea) (KR), Hyundai Pharm (South Korea) (KR), Hyundai Motors (South Korea) (KR)
Openalex Percentile: Top 45%
Tunneling and Rock Mechanics
0.26
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