秦方博，脑图谱与类脑智能实验室副研究员、硕士生导师。长期研究智能视觉感知与机器人精准操作，探索机器人的“看-做-学”与“脑机融合”等关键科学问题，目前主攻神经电极微创植入机器人系统研制。迄今已发表SCI/EI论文共36篇，包括IEEE TCYBER、TMECH、TSMCA、TII、TIM、RAL、ICRA、IROS、ECCV、ICCV等顶级期刊/会议论文，已授权国家发明专利10余项。主持国家自然科学基金青年基金、脑科学重大科技基础设施委托定制项目等，参与科技部脑科学与类脑研究重大项目和新一代人工智能重大项目等。曾获中国科学院特别研究助理人才资助和中国科学院院长优秀奖等荣誉奖励。
教育背景
2013-2019 中国科学院大学人工智能学院 博士学位
2017-2018 美国华盛顿大学电子工程学院 访问学者
2009-2013 北京交通大学电子信息工程学院 学士学位
工作简历
2022-4~今，中国科学院自动化研究所, 副研究员
2019-07~2022-4，中国科学院自动化研究所， 助理研究员
代表性著作
[1] Fangbo Qin*, De Xu, Dapeng Zhang, Weihua Pei*, Xinyong Han, and Shan Yu, "Automated Hooking of Biomedical Microelectrode Guided by Intelligent Microscopic Vision," IEEE/ASME Transactions on Mechatronics, vol. 28, no. 5, 2023.
[2] Fangbo Qin*, De Xu, Blake Hannaford and Tiantian Hao, "Object-Agnostic Vision Measurement Framework Based on One-Shot Learning and Behavior Tree," IEEE Transactions on Cybernetics, vol. 53, no. 8, 2023.
[3] Fangbo Qin, Shan Lin and De Xu*, "Contour Primitive of Interest Extraction Network Based on Dual-Metric One-Shot Learning for Vision Measurement," IEEE Transactions on Industrial Informatics, vol. 19, no. 4, 2023.
[4] Fangbo Qin*, Taogang Hou, Shan Lin, Kaiyuan Wang, Michael C. Yip, and Shan Yu, “AnyOKP: One-Shot and Instance-Aware Object Keypoint Extraction with Pretrained ViT”, IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 2024.
[5] Fangbo Qin, Shan Lin, Yangming Li, Randall A. Bly, Kris S. Moe and Blake Hannaford*, "Towards Better Surgical Instrument Segmentation in Endoscopic Vision: Multi-Angle Feature Aggregation and Contour Supervision," IEEE Robotics and Automation Letters, vol. 5, no. 4, 2020.
[6] Fangbo Qin, De Xu, Dapeng Zhang* and Ying Li, "Robotic Skill Learning for Precision Assembly with Microscopic Vision and Force Feedback," IEEE/ASME Transactions on Mechatronics, vol. 24, no. 3, 2019.
[7] Fangbo Qin, Dapeng Zhang, Dengpeng Xing, De Xu* and Jianquan Li, "Laser Beam Pointing Control with Piezoelectric Actuator Model Learning," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 50, no. 3, 2020.
[8] Shan Lin, Fangbo Qin, Haonan Peng, Randall A. Bly, Kris S. Moe and Blake Hannaford*, "Multi-Frame Feature Aggregation for Real-Time Instrument Segmentation in Endoscopic Video," IEEE Robotics and Automation Letters, vol. 6, no. 4, 2021.
[9] Fangbo Qin, Fei Shen, Dapeng Zhang, Xilong Liu and De Xu*, "Contour Primitives of Interest Extraction Method for Microscopic Images and Its Application on Pose Measurement," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 48, no. 8, 2018.
[10] Fangbo Qin, Jie Qin, Siyu Huang and De Xu*, "Contour Primitive of Interest Extraction Network Based on One-Shot Learning for Object-Agnostic Vision Measurement," IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 2021.
[11] Fangbo Qin, Yangming Li, Yun-Hsuan. Su, De Xu and Blake Hannaford*, "Surgical instrument segmentation for endoscopic vision with data fusion of CNN prediction and kinematic pose," International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada, 2019.
[12] Shan Lin, Fangbo Qin, Yangming Li, Randall A. Bly, Kris S. Moe and Blake Hannaford*, "LC-GAN: Image-to-image Translation Based on Generative Adversarial Network for Endoscopic Images," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, USA, 2020.
[13] Siyu Huang, Fangbo Qin, Pengfei Xiong, Ning Ding, Yijia He* and Xiao Liu. "TP-LSD: Tri-points based line segment detector, " European Conference on Computer Vision (ECCV), 2020.
[14] Haotian Zhang, Yicheng Luo, Fangbo Qin, Yijia He and Xiao Liu*, "ELSD: Efficient Line Segment Detector and Descriptor," IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, CAN, 2021.
[15] Shaohu Wang, Fangbo Qin, Yuchuang Tong, Xiuqin Shang and Zhengtao Zhang*, "Probabilistic Boundary-Guided Point Cloud Primitive Segmentation Network," IEEE Transactions on Instrumentation and Measurement, vol. 72, 2023.
[16] Fei Shen, Fangbo Qin, Zhengtao Zhang*, De Xu, Juan Zhang and Wenrong Wu, "Automated Pose Measurement Method Based on Multivision and Sensor Collaboration for Slice Microdevice," IEEE Transactions on Industrial Electronics, vol. 68, no. 1, 2021.
[17] Yanqin Ma, De Xu and Fangbo Qin, "Efficient Insertion Control for Precision Assembly Based on Demonstration Learning and Reinforcement Learning," IEEE Transactions on Industrial Informatics, vol. 17, no. 7, 2021.
[18] Tiantian Hao, De Xu* and Fangbo Qin, "Image-Based Visual Servoing for Position Alignment with Orthogonal Binocular Vision," IEEE Transactions on Instrumentation and Measurement, vol. 72, 2023.
