面向家庭办公场景的具身智能机器人触觉交互需求与行为反馈设计研究
DOI: http://dx.doi.org/10.12349/iser.v7i10.11962
Article ID: 11962
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XU J, CHEN W, QIAN H, et al. ThinTact: Thin vision-ba-sed tactile sensor by lensless imaging[J]. IEEE Transactio-ns on Robotics, 2025, 41: 1139-1154.
ZHAO Z, LI W, LI Y, et al. Embedding high-resolution touch across robotic hands enables adaptive human-like gra-sping[J]. Nature Machine Intelligence, 2025.
HIGUERA C, SHARMA A, BODDULURI C K, et al. Sp-arsh: Self-supervised touch representations for vision-bas-ed tactile sensing[C]//Proceedings of the 8th Conferenceon Robot Learning. Proceedings of Machine Learning Re-search, 2025, 270: 885-915.
ZHUANG Y, WANG S, SHE D, et al. Octopi: Object pro-perty reasoning with large tactile-language models[C]//Ro-botics: Science and Systems. 2024.
HUANG J, WANG S, LIN F, et al. Tactile-VLA: Unlocki-ng vision-language-action model's physical knowledge fortactile generalization[EB/OL]. arXiv:2507.09160, 2025.
KANITKAR S, JIANG H, YUAN W. PoseIt: A visual-tact-ile dataset of holding poses for grasp stability analysis[C]/-/IEEE/RSJ International Conference on Intelligent Robotsand Systems. 2022.
LIMA B M R, DANYAMRAJU V N S S, DE OLIVEIRAT E A, et al. A multimodal tactile dataset for dynamic tex-ture classification[J]. Data in Brief, 2023, 50: 109590.
ZHAO J, MA Y, WANG L, et al. Transferable tactile tran-sformers for representation learning across diverse sensor-sand tasks[C]//Proceedings of the 8th Conference on Rob-ot Learning. Proceedings of Machine Learning Research,2025, 270.33
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