Grasping Marine Products With Hybrid-Driven Underwater Vehicle-Manipulator System

被引:59
作者
Cai, Mingxue [1 ,2 ]
Wang, Yu [1 ]
Wang, Shuo [1 ,2 ,3 ]
Wang, Rui [1 ]
Ren, Yong [4 ]
Tan, Min [1 ,2 ]
机构
[1] Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
[2] Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
[3] Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Beijing 100190, Peoples R China
[4] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
Manipulators; Task analysis; Grasping; Attitude control; Machine vision; Vehicle dynamics; Cameras; Hybrid-driven underwater vehicle-manipulator system (HD-UVMS); robot control system; underwater manipulation; CLOUDS; ROBOT;
D O I
10.1109/TASE.2019.2957782
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article presents the comprehensive framework for a hybrid-driven underwater vehicle-manipulator system (HD-UVMS) to grasp marine products on the seabed. The purpose of the proposed hybrid-driven propulsion system is to improve the swimming ability of the HD-UVMS by using thrusters and enhance the stability of its pose adjustment mechanism via two unique long fin propulsors. The control mode for the thrusters and long fin propulsors is based on a fuzzy logic control method. Subsequently, a lightweight manipulator is developed to grasp marine products. The open-closed angle and current controls for the gripper help to avoid damaging marine products. A vision system is installed to enable the HD-UVMS to gradually approach marine products with the aid of monocular vision and grasp them with the aid of binocular vision. A detailed method for monocular passive ranging and stereo matching, in accordance with real-time metrics, is elaborated. Finally, relevant experiments are conducted in an indoor pool and under real sea condition to assess the effectiveness of the proposed framework. Note to Practitioners-The motivation behind this article is the design of an underwater vehicle-manipulator system that can grasp marine products on the real seabed and perform other underwater intervention tasks. Currently, the predominant method of fishing for marine products relies on human divers, which has disadvantages for human divers' health due to the long periods of time spent working underwater. In order to further study the problem, this article develops a hybrid-driven underwater vehicle-manipulator system (HD-UVMS) to work in a real seabed environment. A hybrid-driven motion control framework is presented using the thrusters to achieve effective cruising and searching for marine products and long fin propulsors for the fine pose adjustment required to grasp marine products. The proposed lightweight underwater manipulator can grasp marine products on the seabed with the aid of a vision system. A series of experiments suggests that the HD-UVMS is practical and valid.
引用
收藏
页码:1443 / 1454
页数:12
相关论文
共 39 条
[1]   Coordinated Control of Underwater Biomimetic Vehicle-Manipulator System for Free Floating Autonomous Manipulation [J].
Cai, Mingxue ;
Wang, Shuo ;
Wang, Yu ;
Wang, Rui ;
Tan, Min .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (08) :4793-4803
[2]   Prediction-Based Seabed Terrain Following Control for an Underwater Vehicle-Manipulator System [J].
Cai, Mingxue ;
Wang, Yu ;
Wang, Shuo ;
Wang, Rui ;
Cheng, Long ;
Tan, Min .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (08) :4751-4760
[3]   Underwater Intervention Robotics: An Outline of the Italian National Project MARIS [J].
Casalino, Giuseppe ;
Caccia, Massimo ;
Caselli, Stefano ;
Melchiorri, Claudio ;
Antonelli, Gianluca ;
Caiti, Andrea ;
Indiveri, Giovanni ;
Cannata, Giorgio ;
Simetti, Enrico ;
Torelli, Sandro ;
Sperinde, Alessandro ;
Wanderlingh, Francesco ;
Muscolo, Giovanni ;
Bibuli, Marco ;
Bruzzone, Gabriele ;
Zereik, Enrica ;
Odetti, Angelo ;
Spirandelli, Edoardo ;
Ranieri, Andrea ;
Aleotti, Jacopo ;
Rizzini, Dario Lodi ;
Oleari, Fabio ;
Kallasi, Fabjan ;
Palli, Gianluca ;
Scarcia, Umberto ;
Modell, Lorenzo ;
Cataldi, Elisabetta .
MARINE TECHNOLOGY SOCIETY JOURNAL, 2016, 50 (04) :98-107
[4]   Opportunistic Planning in Autonomous Underwater Missions [J].
Cashmore, Michael ;
Fox, Maria ;
Long, Derek ;
Magazzeni, Daniele ;
Ridder, Bram .
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2018, 15 (02) :519-530
[5]   ESTIMATE OF THE 2 SMALLEST SINGULAR-VALUES OF THE JACOBIAN MATRIX - APPLICATION TO DAMPED LEAST-SQUARES INVERSE KINEMATICS [J].
CHIAVERINI, S .
JOURNAL OF ROBOTIC SYSTEMS, 1993, 10 (08) :991-1008
[6]   A free floating manipulation strategy for Autonomous Underwater Vehicles [J].
Conti, R. ;
Fanelli, F. ;
Meli, E. ;
Ridolfi, A. ;
Costanzi, R. .
ROBOTICS AND AUTONOMOUS SYSTEMS, 2017, 87 :133-146
[7]   Adaptive sliding-mode attitude control for autonomous underwater vehicles with input nonlinearities [J].
Cui, Rongxin ;
Zhang, Xin ;
Cui, Dong .
OCEAN ENGINEERING, 2016, 123 :45-54
[8]  
Eidsvik OAN, 2018, 2018 EUROPEAN CONTROL CONFERENCE (ECC), P983, DOI 10.23919/ECC.2018.8550326
[9]   Fitting primitive shapes in point clouds: a practical approach to improve autonomous underwater grasp specification of unknown objects [J].
Fornas, D. ;
Sales, J. ;
Penalver, A. ;
Perez, J. ;
Fernandez, J. . J. ;
Marin, R. ;
Sanz, P. J. .
JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE, 2016, 28 (1-2) :369-384
[10]   Singularity-free dynamic equations of vehicle-manipulator systems [J].
From, Pal J. ;
Duindam, Vincent ;
Pettersen, Kristin Y. ;
Gravdahl, Jan T. ;
Sastry, Shankar .
SIMULATION MODELLING PRACTICE AND THEORY, 2010, 18 (06) :712-731