Publications

2023

• S. Cui, S. Wang, C. Zhang, R. Wang, S. Zhang, and Y. Wang, “GelStereo BioTip: Self-Calibrating Bionic Visuotactile Fingertip for Robotic Manipulation”, accepted by IEEE/ASME Transactions on Mechatronics (TMECH).
• C. Zhang, S. Cui, S. Wang, J. Hu, Y. Cai, R. Wang, and Y. Wang, GelStereo 2.0: An Improved GelStereo Sensor with Multi-Medium Refractive Stereo Calibration, accepted by IEEE Transactions on Industrial Electronics.
• S. Cui, Y. Wang, S. Wang, Q. Li, R. Wang, and C. Zhang, “High Fidelity Tactile Imprint Simulation of Visuotactile Sensors”, accepted by IEEE ICMA 2023.
• S. Cui, C. Zhang, Z. Shao, R. Wang, Y. Wang, S. Wang, and Y. Tian, “Contact Volumetric Mesh Simulation of GelStereo Visuotactile Sensors”, accepted by IEEE CYBER 2023.
• S. Cui, Y. Tian, J. Hu, R. Wang, Y. Wang, and S. Wang, “Prototype of A Novel Visuotactile Endoscope Probe”, accepted by IEEE CYBER 2023.
• S. Cui, S. Wang, R. Wang, S. Zhang, and C. Zhang, “Learning-based Slip Detection for Dexterous Manipulation Using GelStereo Sensing”, accepted by IEEE Transactions on Neural Networks and Learning Systems.
• C. Zhang, S. Cui, S. Wang, J. Hu, Y. Huangfu, and B. Zhang, “Refractive Calibration Study for 3D Contact Shape Measurement of GelStereo-type Sensors,” accepted by Sensors.
• J. Hu, S. Cui, S. Wang, C. Zhang, R. Wang, L. Chen, and Y. Li, “GelStereo Palm: a Novel Curved Visuotactile Sensor for 3D Geometry Sensing,” accepted by IEEE Transactions on Industrial Informatics.

Before 2023 (Selected)

• S. Cui, R. Wang, J. Hu, J. Wei, S. Wang and Z. Lou, “In-Hand Object Localization Using a Novel High-Resolution Visuotactile Sensor,” in IEEE Transactions on Industrial Electronics, vol. 69, no. 6, pp. 6015-6025, June 2022, doi: 10.1109/TIE.2021.3090697. Paper

• S. Cui, R. Wang, J. Hu, C. Zhang, L. Chen and S. Wang, “Self-Supervised Contact Geometry Learning by GelStereo Visuotactile Sensing,” in IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-9, 2022, Art no. 5004609, doi: 10.1109/TIM.2021.3136181. Paper

• S. Cui, Y. Wang, S. Wang, R. Wang, W. Wang and M. Tan, “Real-Time Perception and Positioning for Creature Picking of an Underwater Vehicle,” in IEEE Transactions on Vehicular Technology, vol. 69, no. 4, pp. 3783-3792, April 2020, doi: 10.1109/TVT.2020.2973656. paper

• S. Cui, R. Wang, J. Wei, J. Hu and S. Wang, “Self-Attention Based Visual-Tactile Fusion Learning for Predicting Grasp Outcomes,” in IEEE Robotics and Automation Letters, vol. 5, no. 4, pp. 5827-5834, Oct. 2020, doi: 10.1109/LRA.2020.3010720. Paper

• S. Cui, R. Wang, J. Wei, F. Li and S. Wang, “Grasp State Assessment of Deformable Objects Using Visual-Tactile Fusion Perception,” 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 538-544, doi: 10.1109/ICRA40945.2020.9196787. Paper

• J. Wei, S. Cui, J. Hu, P. Hao, S. Wang and Z. Lou, “Multimodal Unknown Surface Material Classification and Its Application to Physical Reasoning,” in IEEE Transactions on Industrial Informatics, vol. 18, no. 7, pp. 4406-4416, July 2022, doi: 10.1109/TII.2021.3126601. Paper

• C. Zhang, S. Cui, Y. Cai, J. Hu, R. Wang and S. Wang, “Learning-based Six-axis Force/Torque Estimation Using GelStereo Fingertip Visuotactile Sensing,” 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 2022, pp. 3651-3658, doi: 10.1109/IROS47612.2022.9981100. paper

• S. Cui, J. Wei, X. Li, R. Wang, Y. Wang and S. Wang, “Generalized Visual-Tactile Transformer Network for Slip Detection,” in IFAC-PapersOnLine, vol. 53, no. 2, pp. 9529-9534, doi: 10.1016/j.ifacol.2020.12.2430. paper

• J. Wei, S. Cui, P. Hao and S. Wang, “Learning to Manipulate Tools Using Deep Reinforcement Learning and Anchor Information,” 2022 IEEE International Conference on Robotics and Biomimetics (ROBIO), Jinghong, China, 2022, pp. 1420-1425, doi: 10.1109/ROBIO55434.2022.10012027. paper

• S. Liu, S. Cui, C. Zhang, Y. Cai and S. Wang, “Real-Time Marker Localization Learning for GelStereo Tactile Sensing,” 2022 IEEE International Conference on Robotics and Biomimetics (ROBIO), Jinghong, China, 2022, pp. 162-166, doi: 10.1109/ROBIO55434.2022.10011997. paper

• B. Zhang, S. Cui, C. Zhang, J. Hu and S. Wang, “Visuotactile Feedback Parallel Gripper for Robotic Adaptive Grasping,” 2022 IEEE International Conference on Robotics and Biomimetics (ROBIO), Jinghong, China, 2022, pp. 1855-1860, doi: 10.1109/ROBIO55434.2022.10011873. paper

• P. Hao, T. Lu, S. Cui, J. Wei, Y. Cai and S. Wang, “Meta-Residual Policy Learning: Zero-Trial Robot Skill Adaptation via Knowledge Fusion,” in IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 3656-3663, April 2022, doi: 10.1109/LRA.2022.3146916. paper

• Y. Liu, S. Cui, J. Wei, H. Li, J. Hu, S. Chen, Y. Chen, Y. Ma, S. Wang, X. Feng, “Centrosymmetric‐and Axisymmetric‐Patterned Flexible Tactile Sensor for Roughness and Slip Intelligent Recognition,” in Advanced Intelligent Systems, vol. 4, no. 2, pp. 210072, 2022. paper

• P. Hao, T. Lu, S. Cui, J. Wei, Y. Cai and S. Wang, “SOZIL: Self-Optimal Zero-shot Imitation Learning,” in IEEE Transactions on Cognitive and Developmental Systems, doi: 10.1109/TCDS.2021.3116604. paper