ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2102.00205
  4. Cited By
A self-supervised learning-based 6-DOF grasp planning method for
  manipulator

A self-supervised learning-based 6-DOF grasp planning method for manipulator

30 January 2021
G. Peng
Zhenyu Ren
Hongya Wang
Xinde Li
    3DPC
ArXivPDFHTML

Papers citing "A self-supervised learning-based 6-DOF grasp planning method for manipulator"

3 / 3 papers shown
Title
Learning 6-DoF Fine-grained Grasp Detection Based on Part Affordance Grounding
Learning 6-DoF Fine-grained Grasp Detection Based on Part Affordance Grounding
Yaoxian Song
Penglei Sun
Piaopiao Jin
Yi Ren
Yu Zheng
Zhixu Li
Xiaowen Chu
Yueying Zhang
Tiefeng Li
Jason Gu
69
16
0
27 Jan 2023
Deep Learning Approaches to Grasp Synthesis: A Review
Deep Learning Approaches to Grasp Synthesis: A Review
Rhys Newbury
Morris Gu
Lachlan Chumbley
Arsalan Mousavian
Clemens Eppner
...
A. Morales
Tamim Asfour
Danica Kragic
Dieter Fox
Akansel Cosgun
49
164
0
06 Jul 2022
Dex-NeRF: Using a Neural Radiance Field to Grasp Transparent Objects
Dex-NeRF: Using a Neural Radiance Field to Grasp Transparent Objects
Jeffrey Ichnowski
Yahav Avigal
Justin Kerr
Ken Goldberg
52
169
0
27 Oct 2021
1