An Underwater Salvage Robot for Retrieving Foreign Objects in Nuclear Reactor Pools

In this paper, an underwater salvage robot is developed to retrieve foreign objects scattered in nuclear reactor pools. The robot mainly consists of an ROV platform and a 3-DOF Delta robotic arm. Utilizing fused IMU and LED beacon visual data for localization, it achieves pool traversal via six dynamically controlled thrusters. An improved YOLOv8s algorithm is employed to identify foreign objects in underwater environments. During traversal, the robot identifies and retrieves foreign objects along the way. The prototype of the robot was subjected to a series of experiments in an indoor pool. Results show that the improved YOLOv8 algorithm achieves 92.2% mAP, surpassing the original YOLOv8s and Faster-RCNN by 3.7 and 3.3 percentage points, respectively. The robot achieved a foreign-object identification rate of 95.42% and a retrieval success rate of 90.64% under dynamic traversal conditions, indicating that it meets the operational requirements and has significant engineering application value.

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Publication Details

Journal
Drones
Published
2025-10-15
DOI
https://doi.org/10.3390/drones9100714
Primary Topic
Robotics and Sensor-Based Localization
Type
article
Field-Weighted Citation Impact
0.00
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article

An Underwater Salvage Robot for Retrieving Foreign Objects in Nuclear Reactor Pools

Ming Zhong, Yaxin Liu, Zihan Gao, Zhaoyong Mao et al.
Drones
Robotics and Sensor-Based Localization
article

An Underwater Salvage Robot for Retrieving Foreign Objects in Nuclear Reactor Pools

Ming Zhong, Yaxin Liu, Zihan Gao, Zhaoyong Mao, Ruifei Lyu
article en

Abstract

In this paper, an underwater salvage robot is developed to retrieve foreign objects scattered in nuclear reactor pools. The robot mainly consists of an ROV platform and a 3-DOF Delta robotic arm. Utilizing fused IMU and LED beacon visual data for localization, it achieves pool traversal via six dynamically controlled thrusters. An improved YOLOv8s algorithm is employed to identify foreign objects in underwater environments. During traversal, the robot identifies and retrieves foreign objects along the way. The prototype of the robot was subjected to a series of experiments in an indoor pool. Results show that the improved YOLOv8 algorithm achieves 92.2% mAP, surpassing the original YOLOv8s and Faster-RCNN by 3.7 and 3.3 percentage points, respectively. The robot achieved a foreign-object identification rate of 95.42% and a retrieval success rate of 90.64% under dynamic traversal conditions, indicating that it meets the operational requirements and has significant engineering application value.

DronesVol. 9(10)
Harbin Institute of Technology (CN), State Nuclear Power Technology Company (China) (CN)
Openalex Percentile: Top 61%
Robotics and Sensor-Based Localization
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An Underwater Salvage Robot for Retrieving Foreign Objects in Nuclear Reactor Pools — Ming Zhong, Yaxin Liu, et al. · Drones (2025) | TGRS Research Map | TGRS