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07/26/2023
Attention for Robot Touch: Tactile Saliency Prediction for Robust Sim-to-Real Tactile Control
High-resolution tactile sensing can provide accurate information about l...
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07/26/2023
Sim-to-Real Model-Based and Model-Free Deep Reinforcement Learning for Tactile Pushing
Object pushing presents a key non-prehensile manipulation problem that i...
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07/12/2023
Bi-Touch: Bimanual Tactile Manipulation with Sim-to-Real Deep Reinforcement Learning
Bimanual manipulation with tactile feedback will be key to human-level r...
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07/21/2022
Tactile Gym 2.0: Sim-to-real Deep Reinforcement Learning for Comparing Low-cost High-Resolution Robot Touch
High-resolution optical tactile sensors are increasingly used in robotic...
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06/27/2022
DigiTac: A DIGIT-TacTip Hybrid Tactile Sensor for Comparing Low-Cost High-Resolution Robot Touch
Deep learning combined with high-resolution tactile sensing could lead t...
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06/03/2021
Probabilistic Discriminative Models Address the Tactile Perceptual Aliasing Problem
In this paper, our aim is to highlight Tactile Perceptual Aliasing as a ...
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10/19/2019
Towards More Sample Efficiency in Reinforcement Learning with Data Augmentation
Deep reinforcement learning (DRL) is a promising approach for adaptive r...
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10/19/2019
Towards More Sample Efficiency inReinforcement Learning with Data Augmentation
Deep reinforcement learning (DRL) is a promising approach for adaptive r...
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09/24/2019