The following publications are possibly variants of this publication:
- Deep-Learning-Based Force Sensing Method for a Flexible Endovascular Surgery RobotChuqiao Lyu, Shuxiang Guo, Yonggan Yan, Yongxin Zhang, Yongwei Zhang, Pengfei Yang, Jianmin Liu. tim, 73:1-10, 2024. [doi]
- Force feedback controls of multi-gripper robotic endovascular intervention: design, prototype, and experimentsKundong Wang, Jianyun Liu, Weiwu Yan, Qingsheng Lu, Shengdong Nie. cars, 16(1):179-192, 2021. [doi]
- A Novel Grip Force Cognition Scheme for Robot-Assisted Minimally Invasive SurgeryYongchen Guo, Bo Pan, Yili Fu, Max Q.-H. Meng. tamd, 13(2):391-402, 2021. [doi]
- Grip Force Perception Based on dAENN for Minimally Invasive Surgery RobotYongchen Guo, Bo Pan, Yili Fu, Max Q.-H. Meng. robio 2019: 1216-1221 [doi]
- A Hybrid gripper and its clamping force control for Long-Segment Devices in robotic Endovascular Intervention SystemKundong Wang, Jianyun Liu, Lu Li, Shibo Xia, Qingsheng Lu. ijra, 37(2), 2022. [doi]
- Design of a Finger-Tip Flexible Tactile Sensor for an Anthropomorphic Robot HandYuan-Fei Zhang, Yiwei Liu, Ming-He Jin, Hong Liu. icira 2010: 762-773 [doi]