首页|Studies from China University of Mining and Technology Add New Findings in the A rea of Robotics (Structure design and coordinated motion analysis of bionic croc odile robot)
Studies from China University of Mining and Technology Add New Findings in the A rea of Robotics (Structure design and coordinated motion analysis of bionic croc odile robot)
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 – New study results on robotics have bee n published. According to news reporting originating from Xuzhou, People’s Repub lic of China, by NewsRx correspondents, research stated, “Crocodiles, one of the oldest and most resilient species on Earth, have demonstrated remarkable locomo tor abilities both on land and in water, evolving over millennia to adapt to div erse environments.” Funders for this research include China University of Mining And Technology. The news journalists obtained a quote from the research from China University of Mining and Technology: “In this study, we draw inspiration from crocodiles and design a highly biomimetic crocodile robot equipped with multiple degrees of fre edom and articulated trunk joints. This design is based on comprehensive analysi s of the structural and motion characteristics of real crocodiles. The bionic cr ocodile robot has a problem of limb-torso incoordination during movement. To sol ve this problem, we used the D-H method for both forward and inverse kinematics analysis of the robot’s legs and spine. Through a series of simulation experimen ts, we investigated the robot’s motion stability, fault tolerance, and adaptabil ity to environments in two motor patterns: with and without spine and tail movem ents. The experimental results show that the bionic crocodile robot exhibits sup erior motion performance when the spine and tail cooperate with the extremities. ”
China University of Mining and Technolog yXuzhouPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine Lear ningRobotRobotics
NETL
NSTL
