首页|Study Findings from Shenyang University of Technology Advance Knowledge in Robot ics (Research and Implementation of Pneumatic Amphibious Soft Bionic Robot)
Study Findings from Shenyang University of Technology Advance Knowledge in Robot ics (Research and Implementation of Pneumatic Amphibious Soft Bionic Robot)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New study results on robotics have been published . According to news reporting from Shenyang, People's Republic of China, by News Rx journalists, research stated, "To meet the requirements of amphibious explora tion, ocean exploration, and military reconnaissance tasks, a pneumatic amphibio us soft bionic robot was developed by taking advantage of the structural charact eristics, motion forms, and propulsion mechanisms of the sea lion fore-flippers, inchworms, Carangidae tails, and dolphin tails." Funders for this research include National Natural Science Foundation of China. The news journalists obtained a quote from the research from Shenyang University of Technology: "Using silicone rubber as the main material of the robot, combin ed with the driving mechanism of the pneumatic soft bionic actuator, and based o n the theory of mechanism design, a systematic structural design of the pneumati c amphibious soft bionic robot was carried out from the aspects of flippers, tai l, head-neck, and trunk. Then, a numerical simulation algorithm was used to anal yze the main executing mechanisms and their coordinated motion performance of th e soft bionic robot and to verify the rationality and feasibility of the robot s tructure design and motion forms. With the use of rapid prototyping technology t o complete the construction of the robot prototype body, based on the motion amp litude, frequency, and phase of the bionic prototype, the main execution mechani sms of the robot were controlled through a pneumatic system to carry out experim ental testing."
Shenyang University of TechnologySheny angPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningMathematicsNumerical ModelingRobotRobotics
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