首页|Researchers from Chinese Academy of Sciences Detail New Studies and Findings in the Area of Robotics (Autonomous Dynamic Hitchhiking Control of a Bionic Robotic Remora)
Researchers from Chinese Academy of Sciences Detail New Studies and Findings in the Area of Robotics (Autonomous Dynamic Hitchhiking Control of a Bionic Robotic Remora)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotics. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Remora suckerfish and its hitch-hiking behavior bring enormous inspiration into the engineering field. In this article, a bioinspired hitch-hiking behavior is accomplished automatically by a robotic remora, which creates possibilities for prolonging its endurance and multirobot cooperation.” Funders for this research include National Natural Science Foundation of China (NSFC), Joint Fund of Ministry of Education for Equipment Pre-Research. Our news editors obtained a quote from the research from the Chinese Academy of Sciences, “First, the definition of the hitch-hiking task and the mechatronic design of robotic remora are introduced. Then, aiming at the hitch-hiking task, the LED-marker-based underwater visual localization method and planar state synchronization controller are developed. The localization method includes a complete framework from LED detection to marker pose optimization, which considers the refraction correction to improve the localization precision in water. The synchronization controller is decomposed into the lateral and longitudinal subcontrollers to overcome the challenges caused by underactuated dynamic. Besides, a finite state machine is designed to model the state and action transition during the hitch-hiking task. Extensive experimental results demonstrate the effectiveness of the proposed method. The autonomous hitch-hiking task toward a moving host is successfully implemented by a robotic fish for the first time.”
BeijingPeople’s Republic of ChinaAsiaEmerging Technolo- giesMachine LearningRoboticsRobotsChinese Academy of Sciences
NETL
NSTL
IEEE
