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. 2310.08809
  4. Cited By
DexCatch: Learning to Catch Arbitrary Objects with Dexterous Hands

DexCatch: Learning to Catch Arbitrary Objects with Dexterous Hands

13 October 2023
Fengbo Lan
Shengjie Wang
Yunzhe Zhang
Haotian Xu
Oluwatosin Oseni
Yang Gao
Tao Zhang
ArXivPDFHTML

Papers citing "DexCatch: Learning to Catch Arbitrary Objects with Dexterous Hands"

4 / 4 papers shown
Title
Morphologically Symmetric Reinforcement Learning for Ambidextrous Bimanual Manipulation
Morphologically Symmetric Reinforcement Learning for Ambidextrous Bimanual Manipulation
Zechu Li
Yufeng Jin
Daniel Felipe Ordoñez Apraez
Claudio Semini
Puze Liu
Georgia Chalvatzaki
67
0
0
08 May 2025
DexCtrl: Towards Sim-to-Real Dexterity with Adaptive Controller Learning
DexCtrl: Towards Sim-to-Real Dexterity with Adaptive Controller Learning
Shuqi Zhao
Ke Yang
Yuxin Chen
Chenran Li
Yichen Xie
Xiang Zhang
Changhao Wang
M. Tomizuka
41
0
0
02 May 2025
Whole-Body Dynamic Throwing with Legged Manipulators
Whole-Body Dynamic Throwing with Legged Manipulators
Humphrey Munn
Brendan Tidd
Peter Böhm
M. Gallagher
David Howard
37
1
0
08 Oct 2024
Is High Variance Unavoidable in RL? A Case Study in Continuous Control
Is High Variance Unavoidable in RL? A Case Study in Continuous Control
Johan Bjorck
Carla P. Gomes
Kilian Q. Weinberger
57
23
0
21 Oct 2021
1