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 Product Design Engineer Intern@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.
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.
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.
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.
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.
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.
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.
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