Grasping Strategy for Unknown Objects Based on Real-Time Grasp-Stability Evaluation Using Proximity Sensing-Reference-Cited by-同舟云学术

Grasping Strategy for Unknown Objects Based on Real-Time Grasp-Stability Evaluation Using Proximity Sensing

Published:2022-10 Issue:4 Volume:7 Page:8643-8650
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Suzuki Yosuke¹^ORCID,Yoshida Ryoya²,Tsuji Tokuo¹,Nishimura Toshihiro¹^ORCID,Watanabe Tetsuyou¹^ORCID

Affiliation:

1. Faculty of Frontier Engineering, Institute of Science and Engineering, Kanazawa University, Kanazawa, Ishikawa, Japan

2. Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa, Ishikawa, Japan

Funder

JST Moonshot R&D

JSPS KAKENHI

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/9831196/09816106.pdf?arnumber=9816106

Reference23 articles.

1. Robotic grasp detection using deep convolutional neural networks

2. Learning robust, real-time, reactive robotic grasping

3. Grasp pose detection in point clouds;ten pas;Int J Robot Res,2017

4. Reactive grasping using optical proximity sensors

5. Seashell effect pretouch sensing for robotic grasping;jiang;Proc IEEE Int Conf Robot Automat,0

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