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TacGNN:Learning Tactile-based In-hand Manipulation with a Blind Robot

TacGNN:Learning Tactile-based In-hand Manipulation with a Blind Robot

3 April 2023
Linhan Yang
Bidan Huang
Qingbiao Li
Ya-Yen Tsai
Wang Wei Lee
Chaoyang Song
Jia Pan
ArXivPDFHTML

Papers citing "TacGNN:Learning Tactile-based In-hand Manipulation with a Blind Robot"

6 / 6 papers shown
Title
Canonical Representation and Force-Based Pretraining of 3D Tactile for Dexterous Visuo-Tactile Policy Learning
Canonical Representation and Force-Based Pretraining of 3D Tactile for Dexterous Visuo-Tactile Policy Learning
Tianhao Wu
Jinzhou Li
Jiyao Zhang
Mingdong Wu
Hao Dong
SSL
36
5
0
26 Sep 2024
Machine Learning Meets Advanced Robotic Manipulation
Machine Learning Meets Advanced Robotic Manipulation
Saeid Nahavandi
R. Alizadehsani
D. Nahavandi
Chee Peng Lim
Kevin Kelly
Fernando Bello
24
17
0
22 Sep 2023
GOATS: Goal Sampling Adaptation for Scooping with Curriculum
  Reinforcement Learning
GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning
Yaru Niu
Shiyu Jin
Zeqing Zhang
Jiacheng Zhu
Ding Zhao
Liangjun Zhang
35
7
0
09 Mar 2023
Surprisingly Robust In-Hand Manipulation: An Empirical Study
Surprisingly Robust In-Hand Manipulation: An Empirical Study
Aditya Bhatt
Adrian Sieler
Steffen Puhlmann
Oliver Brock
107
68
0
27 Jan 2022
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Weijing Shi
Ragunathan
R. Rajkumar
3DPC
171
738
0
02 Mar 2020
Deep Dynamics Models for Learning Dexterous Manipulation
Deep Dynamics Models for Learning Dexterous Manipulation
Anusha Nagabandi
K. Konolige
Sergey Levine
Vikash Kumar
157
408
0
25 Sep 2019
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