首页|Data from Swiss Federal Institute of Technology Lausanne (EPFL) Provide New Insights into Robotics (Morphological Flexibility In Robotic Systems Through Physical Polygon Meshing)
Data from Swiss Federal Institute of Technology Lausanne (EPFL) Provide New Insights into Robotics (Morphological Flexibility In Robotic Systems Through Physical Polygon Meshing)
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 DailyNews Daily News – Current study results on Robotics have been published. According to news reportingoriginating from Lausanne, Switzerland, by NewsRx correspondents, research stated, “Shape-changingrobots adapt their own morphology to address a wider range of functions or environments than is possiblewith a fixed or rigid structure. Akin to biological organisms, the ability to alter shape or configurationemerges from the underlying mechanical structure, materials or control methods.”
LausanneSwitzerlandEuropeEmerging TechnologiesMachine LearningNano-robotRoboticsRobotsSwiss Federal Institute of Technology Lausanne (EPFL)
NETL
NSTL
