首页|Studies from South China University of Technology Reveal New Findings on Robotic s (Modular Soft Robotic Crawlers Based On Fluidic Prestressed Composite Actuator s)
Studies from South China University of Technology Reveal New Findings on Robotic s (Modular Soft Robotic Crawlers Based On Fluidic Prestressed Composite Actuator s)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Robotics are presented i n a new report. According to news originating from Guangzhou, People's Republic of China, by NewsRx correspondents, research stated, "Soft robotic crawlers have limited payload capacity and crawling speed. This study proposes a high-perform ance inchworm-like modular robotic crawler based on fluidic prestressed composit e (FPC) actuators." Financial supporters for this research include Young Scientists Fund, National N atural Science Foundation of China (NSFC), Guangzhou Municipal Science and Techn ology Project. Our news journalists obtained a quote from the research from the South China Uni versity of Technology, "The FPC actuator is precurved and a pneumatic source is used to flatten it, requiring no energy cost to maintain the equilibrium curved shape. Pressurizing and depressurizing the actuators generate alternating stretc hing and bending motions of the actuators, achieving the crawling motion of the robotic crawler. Multi-modal locomotion (crawling, turning, and pipe climbing) i s achieved by modular reconfiguration and gait design. An analytical kinematic m odel is proposed to characterize the quasi-static curvature and step size of a s ingle-module crawler. Multiple configurations of robotic crawlers are fabricated to demonstrate the crawling ability of the proposed design. A set of systematic experiments are set up and conducted to understand how crawler responses vary a s a function of FPC prestrains, input pressures, and actuation frequencies. As p er the experiments, the maximum carrying load ratio (carrying load divided by ro bot weight) is found to be 22.32, and the highest crawling velocity is 3.02 body length (BL) per second (392 mm/s)."
GuangzhouPeople's Republic of ChinaA siaEmerging TechnologiesMachine LearningRobotRoboticsRobotsSouth Chi na University of Technology
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