首页|Findings from University of Catania Update Understanding of Robotics (Elastostat ic Analysis of a Module-based Shape Morphing Snake-like Robot)
Findings from University of Catania Update Understanding of Robotics (Elastostat ic Analysis of a Module-based Shape Morphing Snake-like Robot)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Robotics is the subjec t of a report. According to news reporting from Catania, Italy, by NewsRx journa lists, research stated, "This paper describes the stiffness analysis of a module -based shape morphing snake-like robot. Snake-like robots have the characteristi c of adapting to unstructured environments by exploiting their ability to reconf igure their body's shape." The news correspondents obtained a quote from the research from the University o f Catania, "However, the excellent mobility contrasts with the ability to transm it high loads, precluding its application in manufacturing operations. This arti cle presents a hybrid structure based on reconfigurable modules equipped with lo ckable joints. The use of multiple modules in series allows for a large workspac e. Furthermore, the parallel structure of the single modules provides for transf erring or sustaining high loads. First, the reliability and precision of the the oretical model has been verified using finite element analysis (FEA). The relati ve errors are less than 5%. Then, a morphing module has been constr ucted as a physical demonstrator for the kinematic parameters and stiffness para meters used in elastostatic analysis. Finally, a five-segment prototype has been manufactured and tested." According to the news reporters, the research concluded: "There is a deviation b etween the experimental results and the theoretical results due to manufacturing errors of the prototype but the trend of displacement change shown in the exper imental results is basically consistent with the theoretical results." This research has been peer-reviewed.
CataniaItalyEuropeEmerging Technol ogiesMachine LearningRobotRoboticsUniversity of Catania
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