期刊
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
卷 69, 期 4, 页码 3898-3908出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIE.2021.3070505
关键词
Organisms; Wires; Sensors; Grasping; Switches; Grippers; Propulsion; Flipper propulsor; locomotion control; underwater robotic grasping; underwater vehicle-manipulator system (UVMS)
资金
- National Key Research and Development Program of China [2020YFC1512202]
- Youth Innovation Promotion Association of the Chinese Academy of Sciences (CAS) [2018162]
- National Natural Science Foundation of China [U1713222, 62073316, U1806204, 62033013]
- key projects of foreign cooperation of CAS [173211KYSB20200020]
Robots have the potential to assist and complement humans in hostile environments. Researchers have designed a lightweight and portable underwater robot, propelled by flexible flippers instead of traditional propellers or jet-based propulsion systems. The robot features six flipper propulsors, a four-degree-of-freedom arm, and onboard sensors for environment perception. The capabilities of the robot have been validated through experiments in laboratory and real sea conditions.
Robots have the potential to assist and complement humans in the exploration of hostile environments. For example, underwater vehicle-manipulator systems (UVMSs) have been researched and applied in underwater operations. Motivated by the need for collecting marine organisms cultivated in shallow sea aquafarm, a lightweight and portable UVMS propelled by flexible flippers (named, F-UVMS), rather than typical propellers or jet-based propulsion systems, is investigated. To this end, integrative mechatronic design of F-UVMS is first presented, involving six flipper propulsors for generating thrust in a flapping way, a four-degree-of-freedom arm for grasping, and a certain amount of onboard sensors for environment perception. A thrust-power measurement platform is established to evaluate thrust-power relationship for different sizes and stiffness of flippers. Meanwhile, the locomotion modalities of F-UVMS are analyzed. A framework based on the nonlinear model-predictive control method is implemented to govern autonomous tracking marine organisms. The capabilities of F-UVMS are validated through a series of experiments in laboratory pool and field missions in real sea conditions.
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