Gang Yan

Orcid: 0000-0003-0141-8102

Affiliations:
  • Waseda University, Faculty of Science and Engineering, Tokyo, Japan


According to our database1, Gang Yan authored at least 11 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Tactile Transfer Learning and Object Recognition With a Multifingered Hand Using Morphology Specific Convolutional Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Exploratory Motion Guided Tactile Learning for Shape-Consistent Robotic Insertion.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023
Geometric Transformation: Tactile Data Augmentation for Robotic Learning.
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.
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.
IEEE Robotics Autom. Lett., 2022

Detection of Slip from Vision and Touch.
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.
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.
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.
Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, 2020

2019
Sequential clustering for tactile image compression to enable direct adaptive feedback.
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.
Proceedings of the International Conference on Robotics and Automation, 2019


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