About Me

I am currently pursuing a master’s degree in the Department of Electrical and Electronics Engineering at Imperial College London, enrolled in the ‘Applied Machine Learning (MSc)’ program, and will graduate in 2024. Prior to this, I completed my undergraduate studies in Intellectual Mechatronical Systems at the School of Mechatronical Engineering, Beijing Institute of Technology, from 2019 to 2023, under the guidance of Professor Qing Shi.

I am passionate about robotics, including mechatronics design, machine learning, and computer vision. My expertise includes Robotic Platform Design, trajectory analysis of mobile robots, embedded system programming and implementation of research tools. I have good team management skills and enjoy teamwork. Besides, I am good at project management and scheduling.

Currently, I’m seeking opportunities that will allow me to broaden my experience, and In the academic year 2024, I am seeking a PhD position in Robotics or other related field.

Contact

  • Email:
    • yanzhoujin8@gmail.com (primary)
    • yanzhou.jin23@imperial.ac.uk (University)
    • jin1543652696@163.com (Private)
  • Wechat: aurora_MK

Research Interest

My research interests lie in the integration of machine learning and robotics, particularly in vision algorithms and robot platform design. I have worked on the visual robotic system design and which enables robots to obtain basic visual information through integrated cameras. I have participated in various projects to gain a deeper understanding of robotic systems and have also interned at leading companies in robot design and manufacturing. I believe that the blending of AI and ML with robotics has broad implications for major sectors such as healthcare, computer rooms, and automobiles.

Events

  • 10-17-2023 Our article “Design of a Small-Scale Locust-Inspired Robot Capable of Jump-Gliding Locomotion” is in progress. Fingers crossed for the paper’s acceptance!
  • 09-30-2023 I am in London now and have registered at Imperial College London.
  • 07-21-2023 Our paper Locust-Inspired Timing Strategy for Wing Deployment in Jump-Fly Robots won the Best Paper in Robotics award in IEEE RCAR 2023. Congratulations everyone!
  • 06-28-2023 Our article “Design and Optimization of a Miniature Locust-Inspired Stable Jumping Robot”, has just been published on IEEE Xplore and will be published on the Journal IEEE Robotics and Automation Letters in this August. Nice work to every one in our team.
  • 06-20-2023 I have received the Unconditional Offer for the program Applied Machine Learning (MSc 1YFT) at Imperial College London! I look foward to studying in London this September.
  • 04-13-2023 Our article Locust-Inspired Timing Strategy for Wing Deployment in Jump-Fly Robots is in progress. Fingers crossed for the paper’s acceptance!