Let's Handle It: Generalizable Manipulation of Articulated Objects
Massachusetts Institute of Technology（麻省理工学院）
英文摘要：
In this project we present a framework for building generalizable manipulation controller policies that map from raw input point clouds and segmentation masks to joint velocities. We took a traditional robotics approach, using point cloud processing, end-effector trajectory calculation, inverse kinematics, closed-loop position controllers, and behavior trees. We demonstrate our framework on four manipulation skills on common household objects that comprise the SAPIEN ManiSkill Manipulation challenge.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
