Robotic grasp detection toward unknown objects using 3D edge detection and Gaussian mixture model for clustering candidates-Reference-Cited by-同舟云学术

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Robotic grasp detection toward unknown objects using 3D edge detection and Gaussian mixture model for clustering candidates

Published:2023-12-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Robotics and Biomimetics (ROBIO)
language:
Short-container-title:

Author:

Shimotori Haruki¹,Jiang Ping²,Ooga Junichiro²,Sugahara Atsushi²,Ito Shun¹,Koike Atsuya¹,Ueda Ryuichi¹

Affiliation:

1. Chiba Institute of Technology,Faculty of Advanced Engineering,Department of Advanced Robotics,Narashino, Chiba,Japan

2. Toshiba Corporate Manufacturing Engineering Center,Isogo-ku, Yokohama,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10354348/10354529/10354880.pdf?arnumber=10354880

Reference14 articles.

1. Handling of objects with marks by a robot

2. 3D Backscatter Localization for Fine-Grained Robotics;Luo

3. Closing the loop for robotic grasping: A real-time, generative grasp synthesis approach;Douglas,2018

4. Grasp pose detection for deformable daily items by pix2stiffness estimation

5. 6-DOF Grasp Detection for Unknown Objects Using Surface Reconstruction

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