Visual-Aided Shared Control of Semi-Autonomous Underwater Vehicle for Efficient Underwater Grasping
Human intelligence has the advantage for making high-level decisions in the remote control of underwater vehicles, while autonomous control is superior for accurate and fast close-range pose adjustment. Combining the advantages of both remote and autonomous control, this paper proposes a visual-aide...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-09-01
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| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/11/9/1837 |
| _version_ | 1827725690149011456 |
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| author | Tianlei Wang Fei Ding Zhenxing Sun |
| author_facet | Tianlei Wang Fei Ding Zhenxing Sun |
| author_sort | Tianlei Wang |
| collection | DOAJ |
| description | Human intelligence has the advantage for making high-level decisions in the remote control of underwater vehicles, while autonomous control is superior for accurate and fast close-range pose adjustment. Combining the advantages of both remote and autonomous control, this paper proposes a visual-aided shared-control method for a semi-autonomous underwater vehicle (sAUV) to conduct flexible, efficient and stable underwater grasping. The proposed method utilizes an arbitration mechanism to assign the authority weights of the human command and the automatic controller according to the attraction field (AF) generated by the target objects. The AF intensity is adjusted by understanding the human intention, and the remote-operation command is fused with a visual servo controller. The shared controller is designed based on the kinematic and dynamic models, and model parameter uncertainties are also addressed. Efficient and stable control performance is validated by both simulation and experiment. Faster and accurate dynamic positioning in front of the target object is achieved using the shared-control method. Compared to the pure remote operation mode, the shared-control mode significantly reduces the average time consumption on grasping tasks for both skilled and unskilled operators. |
| first_indexed | 2024-03-10T22:35:04Z |
| format | Article |
| id | doaj.art-4f78c53476d148ff889199a65d298f19 |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-10T22:35:04Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-4f78c53476d148ff889199a65d298f192023-11-19T11:28:03ZengMDPI AGJournal of Marine Science and Engineering2077-13122023-09-01119183710.3390/jmse11091837Visual-Aided Shared Control of Semi-Autonomous Underwater Vehicle for Efficient Underwater GraspingTianlei Wang0Fei Ding1Zhenxing Sun2College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211816, ChinaCollege of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211816, ChinaCollege of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211816, ChinaHuman intelligence has the advantage for making high-level decisions in the remote control of underwater vehicles, while autonomous control is superior for accurate and fast close-range pose adjustment. Combining the advantages of both remote and autonomous control, this paper proposes a visual-aided shared-control method for a semi-autonomous underwater vehicle (sAUV) to conduct flexible, efficient and stable underwater grasping. The proposed method utilizes an arbitration mechanism to assign the authority weights of the human command and the automatic controller according to the attraction field (AF) generated by the target objects. The AF intensity is adjusted by understanding the human intention, and the remote-operation command is fused with a visual servo controller. The shared controller is designed based on the kinematic and dynamic models, and model parameter uncertainties are also addressed. Efficient and stable control performance is validated by both simulation and experiment. Faster and accurate dynamic positioning in front of the target object is achieved using the shared-control method. Compared to the pure remote operation mode, the shared-control mode significantly reduces the average time consumption on grasping tasks for both skilled and unskilled operators.https://www.mdpi.com/2077-1312/11/9/1837semi-autonomous underwater vehicleshared controlvisual servounderwater grasping |
| spellingShingle | Tianlei Wang Fei Ding Zhenxing Sun Visual-Aided Shared Control of Semi-Autonomous Underwater Vehicle for Efficient Underwater Grasping Journal of Marine Science and Engineering semi-autonomous underwater vehicle shared control visual servo underwater grasping |
| title | Visual-Aided Shared Control of Semi-Autonomous Underwater Vehicle for Efficient Underwater Grasping |
| title_full | Visual-Aided Shared Control of Semi-Autonomous Underwater Vehicle for Efficient Underwater Grasping |
| title_fullStr | Visual-Aided Shared Control of Semi-Autonomous Underwater Vehicle for Efficient Underwater Grasping |
| title_full_unstemmed | Visual-Aided Shared Control of Semi-Autonomous Underwater Vehicle for Efficient Underwater Grasping |
| title_short | Visual-Aided Shared Control of Semi-Autonomous Underwater Vehicle for Efficient Underwater Grasping |
| title_sort | visual aided shared control of semi autonomous underwater vehicle for efficient underwater grasping |
| topic | semi-autonomous underwater vehicle shared control visual servo underwater grasping |
| url | https://www.mdpi.com/2077-1312/11/9/1837 |
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