首页|New Data from Shanghai Jiao Tong University Illuminate Findings in Robotics (Des ign and Analysis of a Flexible Struts V-expander Tensegrity Robot for Navigating Pipes)
New Data from Shanghai Jiao Tong University Illuminate Findings in Robotics (Des ign and Analysis of a Flexible Struts V-expander Tensegrity Robot for Navigating Pipes)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Current study results on Robotics have been published. According to news reportingfrom Shanghai, People's Republic of China, by NewsRx journalists, research stated, "Tensegrity robotshave increasi ngly attracted attention in recent years. Traditionally, these robots rely on ri gid struts andcables to maintain equilibrium configurations."Funders for this research include National Key Research & Developm ent Program of China, NationalNatural Science Foundation of China (NSFC), Joint -Projection for Advanced Technologies of SJTU-SAST.The news correspondents obtained a quote from the research from Shanghai Jiao To ng University,"However, the inflexibility inherent in these rigid struts curtai ls the robot's capacity for deformation,thereby amplifying structural intricacy and imposing limitations on potential applications, particularly inthe realm o f pipe inspection. Drawing inspiration from the V-expander tensegrity structure, this paperpresents a design, analysis, and validation of a flexible struts ten segrity robot. The integration of flexiblestruts enables the robot to exhibit a compact structure, passive compliance, and excellent adaptability.Through the actuation of three active cables, the robot exhibits inchworm-like motion capabi lities forpipes ranging from 50 mm to 110 mm in diameters. A kinetostatics mode ling approach is presentedto predict the shapes of flexible struts and control the motion behaviors of the robot. To validate thecapabilities of the proposed robot and assess the effectiveness of the kinetostatics model, a prototype wasc onstructed and subjected to a series of experiments."
ShanghaiPeople's Republic of ChinaAs iaEmerging TechnologiesMachine LearningNano-robotRobotRoboticsShangh ai Jiao Tong University
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