👤 About me
I’m an avid robotics enthusiast!🤖🤖🤖 Feel free to chat with me 📧📧📧.
I am Yaming Ou (欧亚明), a 4th-year Ph.D. student (5-year, supervised by Prof. Zhou Chao and Assoc. Prof. Fan Junfeng, affiliated with Prof. Tan Min) with the Laboratory of Cognition and Decision Intelligence for Complex Systems (C2DL), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing 100190, China, and also with the School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS), Beijing 100049, China.
Now, I am pursuing in joint Ph.D. program under the supervision of Prof. Howie Choset at Robotics Institute, Carnegie Mellon University (CMU RI). I will be conducting robot navigation research at the Biorobotics Lab from March 2025 to March 2026.
I graduated from the School of Automation at Southeast University (SEU, 985) with a Bachelor’s degree in Robotics Engineering, School of Automation (Rank: 2/34,Outstanding Graduate Award).
My research interests include:SLAM, autonomous robot navigation, multi-modal perception.
🔥 News
2024.12.25: My paper surpasses 100 citations in Google Scholar!😊😊
2024.12.25: Selected for the UCAS PhD International Cooperation Training Program (one spot per institute)!🎉🎉
2024.11.20: Invited by TIE to review a paper related to semantic localization!🎉🎉
2024.11.20: Awarded China PhD National Scholarship!🎉😊
2024.11.16: A participating paper accepted by Bioinspiration & Biomimetics!😊
2024.07.26: 😊😊A SLAM-related paper accepted by TIE!
2024.06.14: Invited by TIV to review a paper related to autonomous driving!🎉🎉
2024.05.30: 🎉😊Recognized as an outstanding student leader of UCAS !
2024.03.21: Publish a paper in TSMC!😊😊
2023.11.25: 🎉A paper accepted by TIV!😊
2023.10.06: A paper accepted by TII!🎉
2023.06.15: 🎉🎉Invited by IEEE Sensor to review a paper related to camera-imu calibration😊
2023.03.27: 😊 Publish a paper in TIM!😊
2023.03.09: 🎉 Successfully selected for the PHD experimental class of CASIA!🎉
2021.07.29: 😊 Participation in the China Control Conference in Shanghai,China!🎉🎉
2021.06.31: 🎉🎉 Successfully graduate from SEU and go to Beijing to start PHD!😊
📖 Educations
- 2025.03 - 2026.03(expected): Robotics Institute, Carnegie Mellon University (Joint Ph.D.)
- 2021.09 - 2026.06(expected): Institute of Automation, Chinese Academy of Sciences (Ph.D.)
- 2021.09 - 2022.06: School of Artificial Intelligence, University of Chinese Academy of Sciences (Ph.D.)
- 2018.06 - 2021.06: Department of Robotics Engineering, School of Automation, Southeast University (B.E.)
- 2017.09 - 2018.06: School of Materials Science and Engineering, Southeast University (B.E.)
📝 Publications
For a more detailed presentation, see Publications.
(* indicates corresponding author)
- Y. Ou, J. Fan, et al. “Hybrid-VINS: Underwater Tightly-Coupled Hybrid Visual Inertial Dense SLAM for AUV,” in IEEE Transactions on Industrial Electronics, 2024. (SCI, JCR Q1, 中科院一区Top,IF=7.5)
- Y. Ou et al., “Structured Light-Based Underwater Collision-Free Navigation and Dense Mapping System for Refined Exploration in Unknown Dark Environments,” in IEEE Transactions on Systems, Man, and Cybernetics: Systems, doi: 10.1109/TSMC.2024.3370917. (SCI, JCR Q1, 中科院一区Top, IF=8.7)
- Y. Ou, J. Fan, C. Zhou, L. Cheng and M. Tan, “Water-MBSL: Underwater Movable Binocular Structured Light-Based High-Precision Dense Reconstruction Framework,” in IEEE Transactions on Industrial Informatics, vol. 20, no. 4, pp. 6142-6154, April 2024, doi: 10.1109/TII.2023.3342899. (SCI, JCR Q1, 中科院一区Top, IF=12.3)
- Y. Ou, J. Fan, C. Zhou, S. Tian, L. Cheng and M. Tan, “Binocular Structured Light 3-D Reconstruction System for Low-Light Underwater Environments: Design, Modeling, and Laser-Based Calibration,” in IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-14, 2023, Art no. 5010314, doi: 10.1109/TIM.2023.3261941. (SCI, JCR Q1, 中科院二区Top, IF=5.6)
- J. Fan, Y. Ou*, X. Li, C. Zhou and Z. Hou, “Structured light vision based pipeline tracking and 3D reconstruction method for underwater vehicle,” in IEEE Transactions on Intelligent Vehicles, doi: 10.1109/TIV.2023.3340737. (corresponding author, SCI, JCR Q1, 中科院一区,IF=8.2)
- Y. Ou, Z. Zhang, C. Zhou and B. Zhou, “Data Calibration Algorithm for Artificial Lateral Line Sensor of Robotic Fish on Improved LSTM,” 2021 40th Chinese Control Conference (CCC), Shanghai, China, 2021, pp. 4308-4314, doi: 10.23919/CCC52363.2021.9549820. (EI)
🛡️ Patents
- Zhou C, Ou Y, Fan J, et al, Underwater Mobile Dense Mapping Platform and Mapping Method Based on Binocular Structured Light. Chinese Patent, CN117893675A.
- Zhou C, Ou Y, Fan J, et al, A Simultaneous Localization System and Method for Underwater Robots. Chinese Patent, KHP2411116437.0.
- Zhang Z, Zhou C, Fan J, Ou Y, Bionic Lateral Line Sensor. Chinese Patent, CN114624461B.
- Zhang Z, Zhou C, Fan J, …, Ou Y. Calibration Model Training Method, Device and System, Electronic Equipment and Storage Medium. Chinese Patent, CN117634641A.
🏆 Honors & Awards
- 2024: 📜Selected for the PhD International Cooperation Program of UCAS (one spot per institute)
- 2024: 📜China PhD National Scholarship (3%, 3W RMB award)
- 2024: 📜Outstanding Student Leader Award of UCAS (top 2%)
- 2023: 📜Selected for the PHD experimental class of CASIA (8/276, 5W RMB scholarships each year)
- 2022: 🥇China ICV Algorithms Challenge Competition(1st place, 2W RMB award)
- 2022: 📜Three Good Students Award of UCAS (top 10%)
- 2021: 🏆Data Application Innovation and Entrepreneurship Competition (merit award, 9/453)
- 2021: 📜Outstanding Graduate Student Award of Southeast University (top 3%)
- 2020: 🥈National College Students Intelligent Vehicle Competition (national 2nd prize)
- 2020: 📜China National Inspiration Scholarship (3.22%)
- 2019: 🥇RoboCup Robotics World Cup (China Region) (national 1st prize)
- 2019: 🥈National College Students Electronic Design Competition (national 2nd prize)
- 2019: 🥇The 10th Robot Competition of Jiangsu Province (provincial 1st prize)
- 2019: 📜Three Good Students Award of Southeast University (top 10%)
- 2018: 🥇The 9th Robot Competition of Jiangsu Province (provincial 1st prize)
- 2016: 🥈High School Mathematics Olympiad Competition, Anhui Province (provincial 2nd prize)
🛠️ Projects & Competitions
For a more detailed presentation, see Publications and Projects.
| Yaming Ou, Junfeng Fan, Chao Zhou, etc. Submitted in IEEE Transactions on Industrial Electronics, 2024 An underwater tightly-coupled hybrid visual inertial dense SLAM framework, named Hybrid-VINS, is proposed, which is the first underwater SLAM system to utilize active vision information to assist passive vision. Tags SLAM Camera-IMU Fusion Source [Video] |
| Yaming Ou, Junfeng Fan, Chao Zhou, etc. Published in IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024 A more adaptable 3D dense mapping robotic system based on self-designed scanning BSL, named ROVScanner, is developed for refined exploration, where the on-board design allows for autonomous mobility and operational capabilities. |
| Yaming Ou, Junfeng Fan, Chao Zhou, etc. Published in IEEE Transactions on Industrial Informatics, 2023 An SSLSLS-based underwater movable high-precision dense reconstruction framework, named Water-movable binocular structured light (MBSL), is proposed, which takes into account both motion distortion and point cloud registration. Tags Dense Mapping Motion Reconstruction Source [Paper] [Video] |
Yaming Ou, Junfeng Fan, Chao Zhou, etc. Published in IEEE Transactions on Instrumentation and Measurement, 2023 An underwater binocular structured light 3-D reconstruction system with the scanning laser is designed to realize the static high-precision scanning reconstruction of the low-light scene, which is suitable for underwater robot application. Tags 3D Reconstruction Active Vision Source [Paper] |
![]() | Junfeng Fan, Yaming Ou*, Xuan Li, etc. (corresponding author) Published in IEEE Transactions on Intelligent Vehicles, 2023 A novel underwater pipeline positioning method based on dual-line laser SLV is proposed, which can simultaneously obtain the lateral deviation, height deviation and heading deviation of underwater vehicle and underwater pipeline under weak light water environment, providing the basis for underwater pipeline tracking. Tags 3D Reconstruction Pipeline Tracking Source [Paper] [Vedio] |
Yaming Ou, Zhuoliang Zhang, Chao Zhou, etc. Published in 2021 40th Chinese Control Conference (CCC), 2023 A cantilever artificial lateral line (ALL) sensor based on piezoresistive effect was developed by imitating the "SNs" cell structure of real fish to realize underwater speed measurement. Tags Speed Measurement Biomimetic Sensor Source [Paper] |
![]() | Competition National College Students Intelligent Vehicle Competition Award National Second Prize Sponsor Baidu Vehicle autonomous driving according to different traffic signs. In addition, based on the target detection algorithm YoloV4-Tiny, the deployment of deep learning algorithms on an embedded development board is realized and guarantees the safe form of the vehicle in the lane. Tags Autonomous Driving Target Detection Source [Video] [Report] |
![]() | Competition China ICV Algorithms Challenge Award First Prize Sponsor China-ICV This is about lateral control technology in autonomous driving. Our algorithm enables lateral lane keeping and speed keeping for cars in different scenarios. Tags Autonomous Driving LQR Control |
Competition National College Students Electronic Design Competition Award National Second Prize This work is based on TI Msp430F5529 to form a dynamic wireless energy-saving charging cart system. Tags Dynamic Charging PID Controller Source [Report] |
![]() | Competition National College Students Electronic Design Competition Award National Second Prize This is one of the training programs for electronic design competitions. Through the coordination of stepper motors and angle sensors, and based on a serial PID control algorithm, the system can initiate and maintain an inverted pendulum state. What an interesting experiment! Tags Inverted Pendulum PID Controller Source [Video] |
![]() | Competition National College Students Electronic Design Competition Award National Second Prize This is one of the training programs for electronic design competitions. The smart car realizes dynamic charging during movement through a wireless charging module and has the ability to track the rapid movement of wire lines. Tags Autonomous Driving Dynamic Charging Source [Video] |
![]() | Competition National College Students Electronic Design Competition Award National Second Prize This is one of the training programs for electronic design competitions. The system's driving unit consists of two soft thin strings. The movement in the 2D plane is achieved by controlling the extension and retraction of the two strings independently using stepper motors, allowing the system to draw patterns such as hearts. Tags Wire Drive PID Controller Source [Video] |
![]() | By deploying the cartographer 2D laser SLAM algorithm on the turtlebot robot, combined with an A* navigation algorithm and a PID motion control algorithm. The robot can realize multi-point cruise operations. Tags SLAM Navigation Source [Video] |
![]() | Using the RGBD camera (on the hand) to identify gomoku, planning with the robot arm to complete the human-computer game. Tags Human-machine Game Hand-eye Calibration Source [Video] |
![]() | Identify the luggage bag and its owner, take the luggage and follow the owner. |
![]() | This is the working scenario of a supermarket sorting mobile robot built in the Webots simulation environment. The robot can identify specific items and place them on the corresponding supermarket shelves. Tags PathPlanning Webots Simulation Source [Video] |
![]() | This is a self-driving highway simulation system built in the Webots simulation environment. With the obstacle detection algorithm, obstacle avoidance strategy and road tracking control algorithm, the car can safely avoid other obstacles and move forward at a high speed. Tags Obstacle Avoidance Webots Simulation Source [Video] |
![]() | Sorting clothes into different containers according to the color using robot arms. Tags Target Detection Matlab Simulation Source [Video] |
![]() | The main control board of the smart car is a Raspberry Pi 2B+, which uses a camera to identify the red lane lines and track them, and identifies crosswalks to slow down and simulate daily traffic road scenes. Tags Target Detection Autonomous Driving Source [Video] |
Image processing techniques were used to extract the location of the dinner plate in the picture, thus assisting the robot to complete the automatic meal-punching operation. Tags Image Processing Target Segmentation |