@inproceedings{868da955cc1d4b6e9cdca68f4c1c3e8e,
title = "Research on robotic arm recognition and grasping based on RGB-D sensor",
abstract = "As people's demand for service robots continues to grow, how to solve the problem of robot interaction with the physical world, especially solving the problem of robot crawling, has become a hot issue in the world. In this paper, the algorithm of target recognition and 6D pose estimation is studied based on RGB-D sensor Kinect. The target recognition, which The object to be captured is determined in a complex environment, is performed by ORB algorithm and template matching. The point cloud registration is performed by LM-ICP algorithm to calculate the position and attitude of the object relative to the robot. Finally, the feasibility of the capture experiment verification algorithm in the Gazebo physics simulation environment is carried out.",
keywords = "Machine vision, Pose estimation, Service robot, Target recognition",
author = "Genglei Li and Weidong Wang and Zhijiang Du",
note = "Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 2nd International Conference on Service Robotics Technologies, ICSRT 2019 ; Conference date: 22-03-2019 Through 24-03-2019",
year = "2019",
month = mar,
day = "22",
doi = "10.1145/3325693.3325697",
language = "英语",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery ",
pages = "7--11",
booktitle = "Proceedings of the 2019 2nd International Conference on Service Robotics Technologies, ICSRT 2019",
address = "美国",
}