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Frontiers of Information Technology & Electronic Engineering
ISSN 2095-9184 (print), ISSN 2095-9230 (online)
2025 Vol.26 No.8 P.1411-1427
A unified shared control architecture for underwater vehicle–manipulator systems using task priority
Abstract: It is challenging for underwater vehicle–manipulator systems (UVMSs) to operate autonomously in unstructured underwater environments. Relying solely on teleoperation for both underwater vehicle (UV) and underwater manipulator (UM) imposes a considerable cognitive and physical load on the operator. In this paper, we propose a unified shared control (USC) architecture for the UVMS, integrating divisible shared control (DSC) and interactive shared control (ISC) to alleviate the operator’s workload. By applying task priority based on DSC, we divide the whole-body task into constraints, operation, and posture optimization subtasks. The robot autonomously avoids self-collisions and adjusts its posture according to the user’s visual preferences. ISC incorporates haptic feedback to enhance human–robot collaboration, seamlessly integrating it into the operation task via a whole-body controller for the UVMS. Simulations and pool experiments are conducted to verify the feasibility of the method. Compared to manual control (MC), the proposed method reduces completion time by 17.50%, operator input length by 25.00%, and cognitive load by 35.53% in the simulations, with corresponding reductions of 22.73%, 40.00%, and 29.91% in the pool experiments. Subjective measurements demonstrate the reduction in operator workload with the proposed method.
Key words: Unified shared control; Underwater vehicle–manipulator system; Human–robot interaction; Task priority
1浙江大学流体动力与机电系统国家重点实验室,中国杭州市,310027
2浙江大学宁波研究院,中国宁波市,315100
3南京电子技术研究所,中国南京市,210007
摘要:在非结构化的水下环境中,实现水下机器人—机械手系统(UVMS)的自主操作具有挑战性。仅依靠遥操作同时控制水下航行器与水下机械手会给操作者带来巨大的认知与体力负担。本文提出一种统一共享控制(USC)架构,该架构融合了分离式共享控制(DSC)与交互式共享控制(ISC),以减轻操作者的负担。通过基于DSC的任务优先级划分,将整机任务分解为约束、操作与姿态优化子任务。机器人系统自主地避免自身碰撞,并根据用户的视觉偏好调整姿态。将触觉反馈融入操作任务的交互式共享控制以增强人机协作,并通过整机控制将其无缝集成于UVMS的操作任务中。通过仿真与水池实验来验证该方法的可行性。相比手动控制,本方法在仿真中的任务完成时间减少17.50%,操作输入长度降低25.00%,认知负荷下降35.53%;水池实验中对应指标分别降低22.73%、40.00%与29.91%。主观测量结果表明该方法能有效降低操作者工作负荷。
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DOI:
10.1631/FITEE.2400471
CLC number:
TP242
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On-line Access:
2025-06-04
Received:
2024-06-02
Revision Accepted:
2025-04-06
Crosschecked:
2025-09-04