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. 2409.17549
  4. Cited By
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

26 September 2024
Tianhao Wu
Jinzhou Li
Jiyao Zhang
Mingdong Wu
Hao Dong
    SSL
ArXivPDFHTML

Papers citing "Canonical Representation and Force-Based Pretraining of 3D Tactile for Dexterous Visuo-Tactile Policy Learning"

3 / 3 papers shown
Title
Zero-shot Sim2Real Transfer for Magnet-Based Tactile Sensor on Insertion Tasks
Zero-shot Sim2Real Transfer for Magnet-Based Tactile Sensor on Insertion Tasks
Beining Han
Abhishek Joshi
Jia Deng
21
0
0
05 May 2025
E-Values Expand the Scope of Conformal Prediction
E-Values Expand the Scope of Conformal Prediction
Etienne Gauthier
Francis Bach
Michael I. Jordan
31
1
0
17 Mar 2025
OmniManip: Towards General Robotic Manipulation via Object-Centric Interaction Primitives as Spatial Constraints
OmniManip: Towards General Robotic Manipulation via Object-Centric Interaction Primitives as Spatial Constraints
Mingjie Pan
Jiyao Zhang
Tianshu Wu
Yinghao Zhao
Wenlong Gao
Hao Dong
LM&Ro
44
6
0
08 Jan 2025
1