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The rapidly evolving field of robotics necessitates methods that can facilitate the fusion of multiple modalities.
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Akihiko Yamaguchi and Christopher. Atkeson · 2019
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“Recent progress in tactile sensing and sensors for robotic manipulation: can we turn tactile sensing into vision?”
Akihiko Yamaguchi and Christopher. Atkeson · 2019
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Hao Li et al · 2022
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Mang Ye, Xu Zhang, Pong Yuen and Shih-Fu Chang · 2019
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“Tactile Gym 2.0: Sim-to-real Deep Reinforcement Learning for Comparing Low-cost High-Resolution Robot Touch”
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“Visuotactile-RL: Learning Multimodal Manipulation Policies with Deep Reinforcement Learning”
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“TACTO: A Fast, Flexible, and Open-source Simulator for High-resolution Vision-based Tactile Sensors”
Shaoxiong Wang, Mike Lambeta, Po-Wei Chou and Roberto Calandra · 2022
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Irmak Guzey, Ben Evans, Soumith Chintala and Lerrel Pinto · 2023
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“Visual-Tactile Learning of Garment Unfolding for Robot-Assisted Dressing”
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