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2020 – today
- 2024
[j3]Binhua Huang
, Senlin Fang, Meng Yin, Zhengkun Yi, Chaoxiang Ye, Xiaoyu Li, Zhenning Zhou, Xinyu Wu:
Dynamic liquid volume estimation using optical tactile sensors and spiking neural network. Intell. Serv. Robotics 17(2): 345-355 (2024)- [c6]Senlin Fang, Yiwen Liu, Chengliang Liu, Jingnan Wang, Yuanzhe Su, Yupo Zhang, Hoiio Kong, Zhengkun Yi, Xinyu Wu:
Probabilistic Spiking Neural Network for Robotic Tactile Continual Learning. ICRA 2024: 530-536 - 2023
- [j2]Senlin Fang, Zhengkun Yi, Tingting Mi, Zhenning Zhou, Chaoxiang Ye, Wanfeng Shang, Tiantian Xu, Xinyu Wu:
TactONet: Tactile Ordinal Network Based on Unimodal Probability for Object Hardness Classification. IEEE Trans Autom. Sci. Eng. 20(4): 2784-2794 (2023) - [j1]Chengliang Liu, Zhengkun Yi, Binhua Huang, Zhenning Zhou, Senlin Fang, Xiaoyu Li, Yupo Zhang, Xinyu Wu:
A Deep Learning Method Based on Triplet Network Using Self-Attention for Tactile Grasp Outcomes Prediction. IEEE Trans. Instrum. Meas. 72: 1-14 (2023) - [c5]Yiwen Liu, Senlin Fang, Chengliang Liu, Jingnan Wang, Ke Mai, Yupo Zhang, Zhengkun Yi, Xinyu Wu:
Evaluation of Continual Learning Methods for Object Hardness Recognition. RCAR 2023: 823-828 - 2022
- [c4]Zhenning Zhou, Senlin Fang, Chaoxiang Ye, Tingting Mi, Binhua Huang, Xiaoyu Li, Zhengkun Yi, Xinyu Wu:
Depth Recognition of Hard Inclusions in Tissue Phantoms for Robotic Palpation. RCAR 2022: 87-92 - 2021
- [c3]Tingting Mi, Dashun Que, Senlin Fang, Zhenning Zhou, Chaoxiang Ye, Chengliang Liu, Zhengkun Yi, Xinyu Wu:
Tactile Grasp Stability Classification Based on Graph Convolutional Networks. RCAR 2021: 875-880 - [c2]Senlin Fang, Tingting Mi, Zhenning Zhou, Chaoxiang Ye, Chengliang Liu, Hancheng Wu, Zhengkun Yi, Xinyu Wu:
TactCapsNet: Tactile Capsule Network for Object Hardness Recognition. RCAR 2021: 1128-1133 - 2020
- [c1]Xiang Liu, Hancheng Wu, Senlin Fang, Zhengkun Yi, Xinyu Wu:
Multimodal Surface Material Classification Based on Ensemble Learning with Optimized Features. HealthCom 2020: 1-6
Coauthor Index
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