秦方博

秦方博  /  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

  • 职  称: 副研究员
  • 邮  编: 100190
  • 电子邮件: fangbo.qin@ia.ac.cn
  • 部门/实验室: 脑图谱与类脑智能实验室
  • 通讯地址: 北京市海淀区中关村东路95号

个人简历

秦方博,副研究员,硕士生导师,现隶属于中国科学院自动化研究所脑图谱与类脑智能实验室、脑认知与类脑智能重点实验室(中国科学院)。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30余篇,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。

研究方向

神经电极植入机器人,智能视觉感知,机器人精准操作

承担科研项目情况

[1] 自动神经界面微器件植入设备,深圳市“脑解析与脑模拟” 重大科技基础设施委托定制项目,2023.9-2025.3,主持; [2] 面向高效人机任务传递的精密操作机器人视觉感知与技能学习,国家自然科学基金青年科学基金项目,2022.1-2024.12,主持; [3] 中国科学院特别研究助理人才项目,中国科学院人事局,2019.12-2021.11,主持; [4] 面向柔性化传动系统制造的智能感知技术研究,特种车辆设计制造集成技术全国重点实验室开放课题,2022.10-2023.12,主持; [5] 面向港口应用的视觉智能感知技术研究,北京航天自动控制研究所,2019.9-2020.9,主持; [6] 微创脑机接口植入装置与系统,科技部科技创新2030“脑科学与类脑研究”重大专项课题, 2021.12-2026.11,骨干; [7] 跨尺度微型器件的精准装配技能学习与验证,科技部科技创新2030“新一代人工智能”重大项目课题,2019.12-2023.12,主要完成人;

代表论著

[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, 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. [5] 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. [6] 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. [7] 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. [8] 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. [9] 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. [10] 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. [11] 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), Glassgow, UK, 2020. [12] 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. [13] 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. [14] 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. [15] 秦方博,徐德*,机器人操作技能模型综述,自动化学报,vol.45, no.8, pp. 1401-1418, 2019.

获奖及荣誉

[1] 2019年中国科学院特别研究助理人才资助 [2] 2019年中国科学院院长优秀奖 [3] 2017年国家奖学金 [4] 2017年留学基金委建设高水平大学公派研究生资助 [5] 2017年中国科学院自动化研究所攀登一等奖学金工程技术类

专利成果

[1] 秦方博,余山, 柔性丝状电极植入装置, 授权日: 2024.3.1 [2] 秦方博,徐德,张大朋,余山, 微小目标的位置对准方法和装置, 授权日: 2023.5.5 [3] 秦方博,余山,徐德, 图像特征提取方法、装置和电子设备, 授权日: 2023.11.3 [4] 秦方博,余山,张大朋, 柔性电极植入装置, 专利号: ZL2022107209972, 授权日: 2022.9.6。 [5] 秦方博,余山,张大朋, 柔性电极植入装置, 专利号: ZL2022107459893, 授权日: 2022.9.27 [6] 秦方博,余山,韩新勇, 颅骨微孔的测量系统, 授权日: 2023.10.31 [7] 秦方博,余山,韩新勇, 点胶装置和柔性电极的植入系统, 授权日: 2023.8.4 [8] 秦方博,余山,徐德, 显微相机位置调节方法设备装置和存储介质, 授权日: 2022.9.27 [9] 秦方博, 徐德, 郝甜甜, 一种视觉测量方法及系统, 授权日: 2022.4.8 [10] 秦方博, 徐德, 物体图像轮廓基元提取方法和装置, 授权日:2022.4.8

社会任职