TactCapsNet: Tactile Capsule Network for Object Hardness Recognition. - Senlin Fang; Tingting Mi; Zhenning Zhou; Chaoxiang Ye; Chengliang Liu 004; Hancheng Wu; Zhengkun Yi; Xinyu Wu 001 (RCAR, 2021)

Tactile Grasp Stability Classification Based on Graph Convolutional Networks. - Tingting Mi; Dashun Que; Senlin Fang; Zhenning Zhou; Chaoxiang Ye; Chengliang Liu 004; Zhengkun Yi; Xinyu Wu 001 (RCAR, 2021)

A Method of Tight Placement for Robotic Dense Packing. - Zhenning Zhou; Zhuangzhuang Zhang; Kaiyi Xie; Xiaoxiao Zhu; Huang Huang; Qixin Cao (ICARM, 2022)

A Brief Review Focused on Tactile Sensing for Stable Robot Grasping Manipulation. - Zhenning Zhou; Zhuangzhuang Zhang; Kaiyi Xie; Xiaoxiao Zhu; Qixin Cao (ICIRA (3), 2022)

Depth Recognition of Hard Inclusions in Tissue Phantoms for Robotic Palpation. - Zhenning Zhou; Senlin Fang; Chaoxiang Ye; Tingting Mi; Binhua Huang; Xiaoyu Li; Zhengkun Yi; Xinyu Wu 001 (RCAR, 2022)

Methods to Recognize Depth of Hard Inclusions in Soft Tissue Using Ordinal Classification for Robotic Palpation. - Zhenning Zhou; Binhua Huang; Runzhi Zhang; Meng Yin; Chengliang Liu 004; Yiwen Liu; Zhengkun Yi; Xinyu Wu 001 (IEEE Trans. Instrum. Meas., 2022)

Grasp Stability Assessment Through Attention-Guided Cross-Modality Fusion and Transfer Learning. - Zhuangzhuang Zhang; Zhenning Zhou; Haili Wang; Zhinan Zhang; Huang Huang; Qixin Cao (IROS, 2023)

GelPixel: A Single-Pixel-Based Tactile Sensor. - Binhua Huang; Xiaoyu Li; Putra Sumari; Chaoxiang Ye; Zhenning Zhou; Meng Yin; Zhengkun Yi; Xinyu Wu 001 (RCAR, 2023)

Attention-enhanced BLSTM Network for Liquid Volume Estimation based on Tactile Sensing. - Yuanzhe Su; Jingnan Wang; Binhua Huang; Xiaoyu Li; Yiwen Liu; Chengliang Liu 004; Zhenning Zhou; Zhengkun Yi; Xinyu Wu 001 (RCAR, 2023)

A Deep Learning Method Based on Triplet Network Using Self-Attention for Tactile Grasp Outcomes Prediction. - Chengliang Liu 004; Zhengkun Yi; Binhua Huang; Zhenning Zhou; Senlin Fang; Xiaoyu Li; Yupo Zhang; Xinyu Wu 001 (IEEE Trans. Instrum. Meas., 2023)

AAGDN: Attention-Augmented Grasp Detection Network Based on Coordinate Attention and Effective Feature Fusion Method. - Zhenning Zhou; Xiaoxiao Zhu; Qixin Cao (IEEE Robotics Autom. Lett., 2023)

TactONet: Tactile Ordinal Network Based on Unimodal Probability for Object Hardness Classification. - Senlin Fang; Zhengkun Yi; Tingting Mi; Zhenning Zhou; Chaoxiang Ye; Wanfeng Shang; Tiantian Xu 001; Xinyu Wu 001 (IEEE Trans Autom. Sci. Eng., 2023)

A Robust and Efficient Robotic Packing Pipeline with Dissipativity- Based Adaptive Impedance-Force Control. - Zhenning Zhou; Lei Zhou; Shengxin Sun; Marcelo H. Ang (IROS, 2024)

Learning to Regrasp Using Visual-Tactile Representation-Based Reinforcement Learning. - Zhuangzhuang Zhang; Han Sun; Zhenning Zhou; Yizhao Wang; Huang Huang; Zhinan Zhang; Qixin Cao (IEEE Trans. Instrum. Meas., 2024)

Dynamic liquid volume estimation using optical tactile sensors and spiking neural network. - Binhua Huang; Senlin Fang; Meng Yin; Zhengkun Yi; Chaoxiang Ye; Xiaoyu Li; Zhenning Zhou; Xinyu Wu 001 (Intell. Serv. Robotics, 2024)

FGCT6D: Frequency-Guided CNN-Transformer Fusion Network for Metal Parts' Robust 6D Pose Estimation. - Han Sun; Zhenning Zhou; Yizhao Wang; Zhuangzhuang Zhang; Qixin Cao (IEEE Robotics Autom. Lett., 2024)

A Shortcut Enhanced LSTM-GCN Network for Multi-Sensor Based Human Motion Tracking. - Xiaoyu Li; Chaoxiang Ye; Binhua Huang; Zhenning Zhou; Yuanzhe Su; Yue Ma 006; Zhengkun Yi; Xinyu Wu 001 (IEEE Trans Autom. Sci. Eng., 2024)

Learning accurate and efficient three-finger grasp generation in clutters with an auto-annotated large-scale dataset. - Zhenning Zhou; Han Sun; Xi Vincent Wang; Zhinan Zhang; Qixin Cao (Robotics Comput. Integr. Manuf., 2025)

Metal Parts' Zero-Shot 6D Pose Estimation via Foundation Model and Template Update for Industrial Scenario. - Han Sun; Yizhao Wang; Zhenning Zhou; Mingyang Li; Nailong Liu; Randolph Odekhe; Qixin Cao (IEEE Trans. Instrum. Meas., 2025)

Exploring Pose-Guided Imitation Learning for Robotic Precise Insertion. - Han Sun; Yizhao Wang; Zhenning Zhou; Shuai Wang; Haibo Yang; Jingyuan Sun; Qixin Cao (CoRR, 2025)