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I am an undergraduate student at the University of Cambridge, interested in the field of robotics engineering, with expertise in mechanical design, software implementation, and machine learning. I was the mechanical design leader for my high school's FIRST Robotics Team, where I led the development and implementation of diverse mechanical design projects and oversaw the development, testing, and validation of control algorithms. I was an undergraduate researcher at the University of Cambridge's Bio-Inspired Robotics Lab in 2023. Currently, I am an incoming Product Design Engineer@Apple.
Beyond my aforementioned experiences, I am passionate about applying machine learning to enhance intelligent robotics systems, particularly by optimizing sensor feedback readings and bridging the gap between mechanics and electrical systems.
- Software Engineering: Proficient in Python, C++, Java (Familiar with I2C, CAN, UART protocols in embedded programming and application with CNN and RNN networks in deep learning)
- Operating Systems: Intermediate in CentOS, Ubuntu, ROS; Intermediate cloud-computing
- Design: Proficient in Solidworks, Autodesk Fusion 360
- Manufacturing Techniques: Proficient in 3D Printing, Laser Cutting; Proficient in Design, Rapid-Prototyping, Verification
- Robotics Design: Robotics Cooking, Object Manipulation, End Effector Design
- Machine Learning: Tool Pose Estimation, Trajectory Optimisation
- Automation: Autonomous Robotic Systems, Path Planning with Multi-Sensor Input
I led a team to compete in the competition, focusing on a sustainable design. I utilized FDM printing and laser-cut MDF, guided by Design for Manufacturability (DFM) and Design for Assembly (DFA), to minimize environmental impact and streamline assembly. Through Solidworks simulations, I and my team perfected the designs, ensuring the robot was both efficient and eco-friendly.
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I developed an affordable and user-friendly 3D-printed PLA gripper for robotic arms, capable of handling a wide range of objects, from soft to hard, using a standard-sized servo and Arduino UNO R3 for power and control.
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I served as the lead mechanical designer for the Unibots project, specializing in ball intake and maneuvering mechanisms. Additionally, I oversaw the robot's characterization and localization design and implementation.
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In collaboration with my team, we created a prototype vending machine for demonstration purposes. My contribution involved utilizing an infrared sensor to illuminate and detect the reflective light wavelengths, allowing us to identify coupons of varying colors.
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In collaboration with the mechanical design team, I integrated swerve modules into the chassis, designed telescoping arms for the climbing structure, incorporated a pneumatic multi-speed gearbox, and created an adjustable hooded shooter. We also employed vision and point cloud cameras for localization and auto-aiming capabilities.
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As the sole robot designer, I employed a conventional pneumatic switchable multi-speed gearbox for the tank drive chassis. I also implemented a serial design to align balls, enhancing shooting speed. Additionally, a vision camera was integrated to estimate the target's distance and direction, automatically adjusting the shooting speed and hooded shooter angle.
- Undergraduate Researcher, Bio-Inspired Robotics Lab@Cambridge, Jun 2023 - Present.
- BA(Hons) and MEng in Engineering, University of Cambridge, Oct 2022 - Present.