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Touch holds a pivotal position in enhancing the perceptual and interactive capabilities of both humans and robots.
Visualizing data using t-sne
Laurens Van der Maaten and Geoffrey Hinton · 2008
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Curriculum learning
Yoshua Bengio, Jérôme Louradour, Ronan Collobert, and Jason Weston · 2009
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Microgeometry capture using an elastomeric sensor
Micah K Johnson, Forrester Cole, Alvin Raj, and Edward H Adelson · 2011
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Sgdr: Stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter · 2016
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The feeling of success: Does touch sensing help predict grasp outcomes?
Roberto Calandra, Andrew Owens, Manu Upadhyaya, Wenzhen Yuan, Justin Lin, Edward H Adelson, and Sergey Levine · 2017
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Improved gelsight tactile sensor for measuring geometry and slip
Siyuan Dong, Wenzhen Yuan, and Edward H Adelson · 2017
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Gelsight: High-resolution robot tactile sensors for estimating geometry and force
Wenzhen Yuan, Siyuan Dong, and Edward H Adelson · 2017
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Connecting look and feel: Associating the visual and tactile properties of physical materials
Wenzhen Yuan, Shaoxiong Wang, Siyuan Dong, and Edward Adelson · 2017
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Shape-independent hardness estimation using deep learning and a gelsight tactile sensor
Wenzhen Yuan, Chenzhuo Zhu, Andrew Owens, Mandayam A Srinivasan, and Edward H Adelson · 2017
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Vitac: Feature sharing between vision and tactile sensing for cloth texture recognition
Shan Luo, Wenzhen Yuan, Edward Adelson, Anthony G Cohn, and Raul Fuentes · 2018
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Active clothing material perception using tactile sensing and deep learning
Wenzhen Yuan, Yuchen Mo, Shaoxiong Wang, and Edward H Adelson · 2018
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See, feel, act: Hierarchical learning for complex manipulation skills with multisensory fusion
Nima Fazeli, Miquel Oller, Jiajun Wu, Zheng Wu, Joshua B Tenenbaum, and Alberto Rodriguez · 2019
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On the power of curriculum learning in training deep networks
Guy Hacohen and Daphna Weinshall · 2019
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Connecting touch and vision via cross-modal prediction
Yunzhu Li, Jun-Yan Zhu, Russ Tedrake, and Antonio Torralba · 2019
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Learning to identify object instances by touch: Tactile recognition via multimodal matching
Justin Lin, Roberto Calandra, and Sergey Levine · 2019
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Self-attention based visual-tactile fusion learning for predicting grasp outcomes
Shaowei Cui, Rui Wang, Junhang Wei, Jingyi Hu, and Shuo Wang · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
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Digit: A novel design for a low-cost compact high-resolution tactile sensor with application to in-hand manipulation
Mike Lambeta, Po-Wei Chou, Stephen Tian, Brian Yang, Benjamin Maloon, Victoria Rose Most, Dave Stroud, Raymond Santos, Ahmad Byagowi, Gregg Kammerer, et al · 2020
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A comprehensive survey on curriculum learning
Xin Wang, Yudong Chen, and Wenwu Zhu · 2020
Cited alongside, same era.
Objectfolder: A dataset of objects with implicit visual, auditory, and tactile representations
Ruohan Gao, Yen-Yu Chang, Shivani Mall, Li Fei-Fei, and Jiajun Wu · 2021
Cited alongside, same era.
Generation of gelsight tactile images for sim2real learning
Daniel Fernandes Gomes, Paolo Paoletti, and Shan Luo · 2021
Touch and go: Learning from human-collected vision and touch
Fengyu Yang, Chenyang Ma, Jiacheng Zhang, Jing Zhu, Wenzhen Yuan, and Andrew Owens · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
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The objectfolder benchmark: Multisensory learning with neural and real objects
Ruohan Gao, Yiming Dou, Hao Li, Tanmay Agarwal, Jeannette Bohg, Yunzhu Li, Li Fei-Fei, and Jiajun Wu · 2023
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Imagebind: One embedding space to bind them all
Rohit Girdhar, Alaaeldin El-Nouby, Zhuang Liu, Mannat Singh, Kalyan Vasudev Alwala, Armand Joulin, and Ishan Misra · 2023
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Self-supervised visuo-tactile pretraining to locate and follow garment features
Justin Kerr, Huang Huang, Albert Wilcox, Ryan Hoque, Jeffrey Ichnowski, Roberto Calandra, and Ken Goldberg · 2023
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Cited alongside, same era.
Lora: Low-rank adaptation of large language models
Edward J Hu, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen, et al · 2021
Cited alongside, same era.
Openclip, July 2021
Gabriel Ilharco, Mitchell Wortsman, Ross Wightman, Cade Gordon, Nicholas Carlini, Rohan Taori, Achal Dave, Vaishaal Shankar, Hongseok Namkoong, John Miller, Hannaneh Hajishirzi, Ali Farhadi, and Ludwig Schmidt · 2021
Cited alongside, same era.
Scaling up visual and vision-language representation learning with noisy text supervision
Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc Le, Yun-Hsuan Sung, Zhen Li, and Tom Duerig · 2021
Cited alongside, same era.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Cited alongside, same era.
A survey on curriculum learning
Xin Wang, Yudong Chen, and Wenwu Zhu · 2021
Cited alongside, same era.
Flamingo: a visual language model for few-shot learning
Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, et al · 2022
Cited alongside, same era.
Objectfolder 2.0: A multisensory object dataset for sim2real transfer
Ruohan Gao, Zilin Si, Yen-Yu Chang, Samuel Clarke, Jeannette Bohg, Li Fei-Fei, Wenzhen Yuan, and Jiajun Wu · 2022
Cited alongside, same era.
Vit-lens-2: Gateway to omni-modal intelligence
Weixian Lei, Yixiao Ge, Kun Yi, Jianfeng Zhang, Difei Gao, Dylan Sun, Yuying Ge, Ying Shan, and Mike Zheng Shou · 2023
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General in-hand object rotation with vision and touch
Haozhi Qi, Brent Yi, Sudharshan Suresh, Mike Lambeta, Yi Ma, Roberto Calandra, and Jitendra Malik · 2023
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Midastouch: Monte-carlo inference over distributions across sliding touch
Sudharshan Suresh, Zilin Si, Stuart Anderson, Michael Kaess, and Mustafa Mukadam · 2023
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Gemini: a family of highly capable multimodal models
Gemini Team, Rohan Anil, Sebastian Borgeaud, Yonghui Wu, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M Dai, Anja Hauth, et al · 2023
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Tactorbots: a haptic design toolkit for out-of-lab exploration of emotional robotic touch
Ran Zhou, Zachary Schwemler, Akshay Baweja, Harpreet Sareen, Casey Lee Hunt, and Daniel Leithinger · 2023
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Languagebind: Extending video-language pretraining to n-modality by language-based semantic alignment
Bin Zhu, Bin Lin, Munan Ning, Yang Yan, Jiaxi Cui, WANG HongFa, Yatian Pang, Wenhao Jiang, Junwu Zhang, Zongwei Li, et al · 2023
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Towards comprehensive multimodal perception: Introducing the touch-language-vision dataset
Ning Cheng, You Li, Jing Gao, Bin Fang, Jinan Xu, and Wenjuan Han · 2024
Closest in time.
Multimodal visual-tactile representation learning through self-supervised contrastive pre-training
Vedant Dave, Fotios Lygerakis, and Elmar Rückert · 2024
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A touch, vision, and language dataset for multimodal alignment
Letian Fu, Gaurav Datta, Huang Huang, William Chung-Ho Panitch, Jaimyn Drake, Joseph Ortiz, Mustafa Mukadam, Mike Lambeta, Roberto Calandra, and Ken Goldberg · 2024
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Binding touch to everything: Learning unified multimodal tactile representations
Fengyu Yang, Chao Feng, Ziyang Chen, Hyoungseob Park, Daniel Wang, Yiming Dou, Ziyao Zeng, Xien Chen, Rit Gangopadhyay, Andrew Owens, et al · 2024
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Empowering vision-language models for reasoning ability through large language models
Yueting Yang, Xintong Zhang, Jinan Xu, and Wenjuan Han · 2024
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MMICL: Empowering vision-language model with multi-modal in-context learning
Haozhe Zhao, Zefan Cai, Shuzheng Si, Xiaojian Ma, Kaikai An, Liang Chen, Zixuan Liu, Sheng Wang, Wenjuan Han, and Baobao Chang · 2024
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