Gang Yan

According to our database, Gang Yan authored at least 13 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Grasp, Reason, Act: Tactile-Language Model for Zeroshot Sim2real Grasp Stability Prediction and Re-Grasping.

Gang Yan, Jiaxian Guo, Khrapchenkov Petr, Zhongchao Zhou, Yaonan Zhu, Yusuke Iwasawa, Yutaka Matsuo

IEEE Robotics Autom. Lett., May, 2026

2025

A Comprehensive Survey on Physical Risk Control in the Era of Foundation Model-enabled Robotics.

Takeshi Kojima, Yaonan Zhu, Yusuke Iwasawa, Toshinori Kitamura, Gang Yan, Shu Morikuni, Ryosuke Takanami, Alfredo Solano, Tatsuya Matsushima, Akiko Murakami, Yutaka Matsuo

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

Tactile Transfer Learning and Object Recognition With a Multifingered Hand Using Morphology Specific Convolutional Neural Networks.

Satoshi Funabashi, Gang Yan, Fei Hongyi, Alexander Schmitz, Lorenzo Jamone, Tetsuya Ogata, Shigeki Sugano

IEEE Trans. Neural Networks Learn. Syst., June, 2024

Exploratory Motion Guided Tactile Learning for Shape-Consistent Robotic Insertion.

Gang Yan, Jinsong He, Satoshi Funabashi, Alexander Schmitz, Shigeki Sugano

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

Geometric Transformation: Tactile Data Augmentation for Robotic Learning.

Gang Yan, Jun Yuyeol, Satoshi Funabashi, Tito Pradhono Tomo, Sophon Somlor, Alexander Schmitz, Shigeki Sugano

Proceedings of the IEEE International Conference on Development and Learning, 2023

Vision-Touch Fusion for Predicting Grasping Stability Using Self Attention and Past Visual Images.

Gang Yan, Zhida Qin, Satoshi Funabashi, Alexander Schmitz, Tito Pradhono Tomo, Sophon Somlor, Lorenzo Jamone, Shigeki Sugano

Proceedings of the IEEE International Conference on Development and Learning, 2023

2022

A Robotic Grasping State Perception Framework With Multi-Phase Tactile Information and Ensemble Learning.

Gang Yan, Alexander Schmitz, Satoshi Funabashi, Sophon Somlor, Tito Pradhono Tomo, Shigeki Sugano

IEEE Robotics Autom. Lett., 2022

Detection of Slip from Vision and Touch.

Gang Yan, Alexander Schmitz, Tito Pradhono Tomo, Sophon Somlor, Satoshi Funabashi, Shigeki Sugano

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Skeleton recognition-based motion generation and user emotion evaluation with in-home rehabilitation assistive humanoid robot.

Tamon Miyake, Yushi Wang, Gang Yan, Shigeki Sugano

Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

2021

SCT-CNN: A Spatio-Channel-Temporal Attention CNN for Grasp Stability Prediction.

Gang Yan, Alexander Schmitz, Satoshi Funabashi, Sophon Somlor, Tito Pradhono Tomo, Shigeki Sugano

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Deep GRU-ensembles for active tactile texture recognition with soft, distributed skin sensors in dynamic contact scenarios.

Andreas Geier, Gang Yan, Tito Pradhono Tomo, Sophon Somlor, Shigeki Sugano

Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, 2020

2019

Sequential clustering for tactile image compression to enable direct adaptive feedback.

Andreas Geier, Gang Yan, Tito Pradhono Tomo, Shun Ogasa, Sophon Somlor, Alexander Schmitz, Shigeki Sugano

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Morphology-Specific Convolutional Neural Networks for Tactile Object Recognition with a Multi-Fingered Hand.

Satoshi Funabashi, Gang Yan, Andreas Geier, Alexander Schmitz, Tetsuya Ogata, Shigeki Sugano

Proceedings of the International Conference on Robotics and Automation, 2019