A 3D-grasp synthesis algorithm to grasp unknown objects based on graspable boundary and convex segments

Author:

Ala RajeshKanna,Kim Dong Hwan,Shin Sung Yul,Kim ChangHwan,Park Sung-Kee

Funder

National Agenda Project of the Korea Research Council of Fundamental Science and Technology

KIST Institutional Program

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Object detection and pose estimation method by RGB-D camera for robotic grasping;Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023);2024-04-01

2. Enhancing Robotic Grasping of Free-Floating Targets with Soft Actor-Critic Algorithm and Tactile Sensors: a Focus on the Pre-Grasp Stage;AIAA SCITECH 2024 Forum;2024-01-04

3. Robotic Grasp Detection Using Structure Prior Attention and Multiscale Features;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2024

4. UPG: 3D vision-based prediction framework for robotic grasping in multi-object scenes;Knowledge-Based Systems;2023-06

5. Enveloping grasp planning of a three-fingered deployable metamorphic robotic grasper;2022 IEEE International Conference on Cyborg and Bionic Systems (CBS);2023-03-24

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