首页|Chinese Academy of Sciences Reports Findings in Robotics (Instance-level 6D pose estimation based on multi-task parameter sharing for robotic grasping)
Chinese Academy of Sciences Reports Findings in Robotics (Instance-level 6D pose estimation based on multi-task parameter sharing for robotic grasping)
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 - New research on Robotics is the subjec t of a report. According to news reportingfrom Shenzhen, People’s Republic of C hina, by NewsRx journalists, research stated, “Six-dimensional poseestimation t ask predicts its 3D rotation matrix and 3D translation matrix in the world coord inate systemby inputting the color image or depth image of the target object. E xisting methods usually use deep neuralnetworks to directly predict or regress object poses based on keypoint methods.”
ShenzhenPeople’s Republic of ChinaAs iaEmerging TechnologiesMachine LearningRoboticsRobots