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ORCIDGang Yan 0003
Person information
- affiliation: University of Tokyo, Matsuo-Iwasawa Laboratory, Department of Technology Management for Innovation, Japan
- affiliation: Waseda University, Faculty of Science and Engineering, Tokyo, Japan
Other persons with the same name
- Gang Yan — disambiguation page
- Gang Yan 0001
![[0000-0002-7494-9353]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0002-7494-9353")
— Hebei University of Technology, School of Computer Science and Engineering, Tianjin, China - Gang Yan 0002 — Jilin University, Changchun, China (and 2 more)
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2020 – today
- 2026
[j3]Gang Yan, Jiaxian Guo, Khrapchenkov Petr, Zhongchao Zhou, Yaonan Zhu, Yusuke Iwasawa, Yutaka Matsuo:
Grasp, Reason, Act: Tactile-Language Model for Zeroshot Sim2real Grasp Stability Prediction and Re-Grasping. IEEE Robotics Autom. Lett. 11(5): 5805-5812 (2026)- 2025
- [c10]Takeshi Kojima, Yaonan Zhu, Yusuke Iwasawa, Toshinori Kitamura, Gang Yan, Shu Morikuni, Ryosuke Takanami, Alfredo Solano, Tatsuya Matsushima, Akiko Murakami, Yutaka Matsuo:
A Comprehensive Survey on Physical Risk Control in the Era of Foundation Model-enabled Robotics. IJCAI 2025: 10517-10527 - [i1]Takeshi Kojima, Yaonan Zhu, Yusuke Iwasawa, Toshinori Kitamura, Gang Yan, Shu Morikuni, Ryosuke Takanami, Alfredo Solano, Tatsuya Matsushima, Akiko Murakami, Yutaka Matsuo:
A Comprehensive Survey on Physical Risk Control in the Era of Foundation Model-enabled Robotics. CoRR abs/2505.12583 (2025) - 2024
- [j2]Satoshi Funabashi, Gang Yan, Fei Hongyi, Alexander Schmitz, Lorenzo Jamone, Tetsuya Ogata, Shigeki Sugano:
Tactile Transfer Learning and Object Recognition With a Multifingered Hand Using Morphology Specific Convolutional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7587-7601 (2024) - [c9]Gang Yan, Jinsong He, Satoshi Funabashi, Alexander Schmitz, Shigeki Sugano:
Exploratory Motion Guided Tactile Learning for Shape-Consistent Robotic Insertion. IROS 2024: 4487-4494 - 2023
- [c8]Gang Yan, Zhida Qin, Satoshi Funabashi, Alexander Schmitz, Tito Pradhono Tomo, Sophon Somlor, Lorenzo Jamone, Shigeki Sugano:
Vision-Touch Fusion for Predicting Grasping Stability Using Self Attention and Past Visual Images. ICDL 2023: 339-345 - [c7]Gang Yan, Jun Yuyeol, Satoshi Funabashi, Tito Pradhono Tomo, Sophon Somlor, Alexander Schmitz, Shigeki Sugano:
Geometric Transformation: Tactile Data Augmentation for Robotic Learning. ICDL 2023: 346-353 - 2022
- [j1]Gang Yan, Alexander Schmitz, Satoshi Funabashi, Sophon Somlor, Tito Pradhono Tomo, Shigeki Sugano:
A Robotic Grasping State Perception Framework With Multi-Phase Tactile Information and Ensemble Learning. IEEE Robotics Autom. Lett. 7(3): 6822-6829 (2022) - [c6]Tamon Miyake, Yushi Wang, Gang Yan, Shigeki Sugano:
Skeleton recognition-based motion generation and user emotion evaluation with in-home rehabilitation assistive humanoid robot. Humanoids 2022: 616-621 - [c5]Gang Yan, Alexander Schmitz, Tito Pradhono Tomo, Sophon Somlor, Satoshi Funabashi, Shigeki Sugano:
Detection of Slip from Vision and Touch. ICRA 2022: 3537-3543 - 2021
- [c4]Gang Yan, Alexander Schmitz, Satoshi Funabashi, Sophon Somlor, Tito Pradhono Tomo, Shigeki Sugano:
SCT-CNN: A Spatio-Channel-Temporal Attention CNN for Grasp Stability Prediction. ICRA 2021: 2627-2634 - 2020
- [c3]Andreas Geier, Gang Yan, Tito Pradhono Tomo, Sophon Somlor, Shigeki Sugano:
Deep GRU-ensembles for active tactile texture recognition with soft, distributed skin sensors in dynamic contact scenarios. SII 2020: 127-132
2010 – 2019
- 2019
- [c2]Satoshi Funabashi, Gang Yan, Andreas Geier, Alexander Schmitz, Tetsuya Ogata, Shigeki Sugano:
Morphology-Specific Convolutional Neural Networks for Tactile Object Recognition with a Multi-Fingered Hand. ICRA 2019: 57-63 - [c1]Andreas Geier, Gang Yan, Tito Pradhono Tomo, Shun Ogasa, Sophon Somlor, Alexander Schmitz, Shigeki Sugano:
Sequential clustering for tactile image compression to enable direct adaptive feedback. IROS 2019: 8117-8124
Coauthor Index
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