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Canonical Representation and Force-Based Pretraining of 3D Tactile for Dexterous Visuo-Tactile Policy Learning
IEEE International Conference on Robotics and Automation (ICRA), 2024
26 September 2024
Tianhao Wu
Jinzhou Li
Jiyao Zhang
Mingdong Wu
Hao Dong
SSL
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Papers citing
"Canonical Representation and Force-Based Pretraining of 3D Tactile for Dexterous Visuo-Tactile Policy Learning"
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Adaptive Visuo-Tactile Fusion with Predictive Force Attention for Dexterous Manipulation
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Self-supervised perception for tactile skin covered dexterous hands
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Carolina Higuera
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DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation
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3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
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Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training
IEEE International Conference on Robotics and Automation (ICRA), 2024
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Elmar Rueckert
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283
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Reconstructing Hands in 3D with Transformers
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Dandan Shan
Ilija Radosavovic
Angjoo Kanazawa
David Fouhey
Jitendra Malik
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08 Dec 2023
Robot Synesthesia: In-Hand Manipulation with Visuotactile Sensing
IEEE International Conference on Robotics and Automation (ICRA), 2023
Ying Yuan
Haichuan Che
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Zhao-Heng Yin
Kang-Won Lee
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The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
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Younggyo Seo
Hao Liu
Youngwoon Lee
Pieter Abbeel
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See to Touch: Learning Tactile Dexterity through Visual Incentives
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Irmak Güzey
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General In-Hand Object Rotation with Vision and Touch
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Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play
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