首页|Reports from Stanford University Add New Data to Findings in Robotics (Elephant Trunk Inspired Multimodal Deformations and Movements of Soft Robotic Arms)
Reports from Stanford University Add New Data to Findings in Robotics (Elephant Trunk Inspired Multimodal Deformations and Movements of Soft Robotic Arms)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Robotics have been published. According to news reporting from Stanford, California, by NewsR x journalists, research stated, "Elephant trunks are capable of complex, multimo dal deformations, allowing them to perform task-oriented high-degree-of-freedom (DOF) movements pertinent to the field of soft actuators. Despite recent advance s, most soft actuators can only achieve one or two deformation modes, limiting t heir motion range and applications." Financial supporters for this research include National Science Foundation (NSF) , NSF-Office of the Director (OD), ARO ECP Award. The news correspondents obtained a quote from the research from Stanford Univers ity, "Inspired by the elephant trunk musculature, a liquid crystal elastomer (LC E)-based multi-fiber design strategy is proposed for soft robotic arms in which a discrete number of artificial muscle fibers can be selectively actuated, achie ving multimodal deformations and transitions between modes for continuous moveme nts. Through experiments, finite element analysis (FEA), and a theoretical model , the influence of LCE fiber design on the achievable deformations, movements, a nd reachability of trunk-inspired robotic arms is studied. Fiber geometry is par ametrically investigated for 2-fiber robotic arms and the tilting and bending of these arms is characterized. A 3-fiber robotic arm is additionally studied with a simplified fiber arrangement analogous to that of an actual elephant trunk. T he remarkably broad range of deformations and the reachability of the arm are di scussed, alongside transitions between deformation modes for functional movement s. It is anticipated that this design and actuation strategy will serve as a rob ust method to realize high-DOF soft actuators for various engineering applicatio ns. These elephant trunk-inspired soft robotic arms, through the design of their selectively addressable liquid crystal elastomer (LCE) artificial muscle fibers , can achieve multimodal deformations and transitions between deformation modes to generate functional movements much like those of an elephant."
StanfordCaliforniaUnited StatesNor th and Central AmericaEmerging TechnologiesEngineeringMachine LearningRo boticsRobotsStanford University
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