IEEE RA-L

GraspClutter6D: A Large-scale Real-world Dataset for Robust Perception and Grasping in Cluttered Scenes

Seunghyeok Back, Joosoon Lee, Kangmin Kim, Heeseon Rho, Geonhyup Lee, Raeyoung Kang, Sangbeom Lee, Sangjun Noh, Youngjin Lee, Taeyeop Lee, Kyoobin Lee

机构 * Korea Institute of Machinery & Materials (KIMM)（韩国机械材料研究院） ； Gwangju Institute of Science and Technology (GIST)（全州科学技术院） ； Korea Advanced Institute of Science and Technology (KAIST)（韩国科学技术院） 纠错

Comments Accepted at IEEE Robotics and Automation Letters (RA-L). Project Websites: https://sites.google.com/view/graspclutter6d