首页|Reports from Leibniz University Hannover Describe Recent Advances in Robotics (D escribing and Analyzing Mechanical Contact for Continuum Robots Using a Shooting -based Cosserat Rod Implementation)
Reports from Leibniz University Hannover Describe Recent Advances in Robotics (D escribing and Analyzing Mechanical Contact for Continuum Robots Using a Shooting -based Cosserat Rod Implementation)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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 reporting from Hannover, Germany, by NewsRx jo urnalists, research stated, "Soft material robotic systems offer inherent safety and flexibility due to their low material stiffness. Therefore, soft material r obots are prone to operate in unknown environments and fulfill tasks that involv e and even exploit contact with the environment." Financial support for this research came from German Research Foundation (DFG). The news correspondents obtained a quote from the research from Leibniz Universi ty Hannover, "Moving to the application of soft robots, incorporating validated contact models in modeling frameworks can be crucial for simulation tasks in, e. g. design optimization, motion planning or control. Cosserat rod models have pro ven themselves not only to be accurate but also computationally efficient for sl ender soft continuum robots (SCRs). However, only recently the topic of contact modeling has been introduced to Cosserat rod frameworks for SCRs. In this letter , for the first time we present and analyze an approach to include contact model ing in a widely used shooting-based Cosserat rod implementation. Evaluation agai nst detailed finite element (FE) simulations indicate comparable accuracy, while the computational time remains a small fraction. Simulated data for the conside red contact scenarios reveal a consistent level of agreement to experimental dat a, with minor discrepancies."
HannoverGermanyEuropeEmerging Tech nologiesMachine LearningNano-robotRoboticsLeibniz University Hannover
NETL
NSTL
