Educational Background
Harbin University of Science and Technology · Electronic Information
Main Courses: Linear System Theory, Intelligent Control Systems, Machine Learning and Applications, Advanced Robotics Technology and Applications;
Harbin University of Science and Technology · Electronic Information Science and Technology
Main Courses: Circuit Principles, Analog Electronics, Digital Electronics, Microcontroller Principles and Applications;
Research Experience
Open-Source Drone Pod Experimental Development Platform
Responsibilities: Responsible for equipment debugging of the AMovLab P600 series drone, maintaining close communication with the technical support team to ensure smooth project progress, participating in the planning and construction of the Robotics Engineering Laboratory in the School of Automation, and assisting the supervisor in daily laboratory management tasks.
Cluster Task Restructuring Model Development (202310JT35)
Responsibilities: Responsible for writing the proposal chapter in the bidding document "Development of Cluster Task Restructuring Model for Self-Sustaining Formations of UUVs", including research significance and the current state of research domestically and internationally. Also responsible for compiling similar project performance tables and related proof materials for the supervisor.
Heilongjiang Provincial Natural Science Foundation (LH2020E094)
Responsibilities: Responsible for the anti-sway control research of underactuated marine crane systems. To address the problem of load sway caused by the rolling of the mother ship during crane operations, a mathematical model of a dual-pendulum marine crane considering time-varying wave disturbances was developed. A sway reduction control method suitable for dual-pendulum marine cranes was proposed, enabling the system state to converge rapidly to the desired value within a finite time. Simulation implementation was carried out using Matlab/Simulink software.
Personal Achievements: Sliding mode control method for dual-pendulum marine cranes (Patent authorized, supervisor is the first author, student is the second author)
Professional Skills
Proficient in C++, Python, familiar with Linux, ROS commands.
Knowledge of Patent Writing techniques, Code Development, and some experience in Project Management.
Skilled in using MATLAB, familiar with common robot algorithms like Mapping, Navigation, and Multi-Sensor Fusion.
Familiar with hardware development processes, including STM32, Pixhawk, and Arduino, and good at debugging circuits.
Personal Info
Full Name
John Doe
Gender
Male
Date of Birth
April 2, 2003
Nationality
China
Phone
+86-15212345678
Website
https://johndoe.site
Current Location
Ha'erbin, Heilongjiang
Projects
My Resume
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