# TzuYi Yang > Robotics Engineer Location: Berkeley, California, United States Profile: https://flows.cv/tzuyi As a Master of Engineering student at UC Berkeley, I am passionate about developing advanced robotics solutions that can reduce human work and enhance efficiency. My degree program focuses on automatics and robotics, and I have gained professional skills in model predictive control, state estimation, and 6-axis robot arm manipulation. In my capstone project, I am working with a dynamic walking robot that can manipulate and transport objects gracefully. I have developed a reliable holistic solution that uses a vision-based and path-planning algorithm and implemented RRT* to reduce computing resources and expand the reachable workspace of the robot arm. I have also completed two other projects on multi-purpose route planning for an autonomous vacuum robot and finite-time optimal control for autonomous vehicle parking, demonstrating my ability to apply feedback control systems, design thinking, and relays to various robotics problems. I am interested in Bayesian tracking and uncertainty-related theory, and I am eager to contribute to the robotics and control engineering field. ## Work Experience ### Perception Software Engineer @ XPENG Jan 2025 – Present | San Diego, California, United States ### Software Developer @ Signetron Jan 2024 – Jan 2025 | Berkeley, California, United States Deployed Coverage Search algorithms and Finite State Machine mechanism for an attic cleaning robot, accounting for various obstacle constraints and reduced overall task completion time by 30%. ### Capstone Project : Robot manipulation for construction of structures to reduce human work @ University of California, Berkeley Jan 2023 – Jan 2024 | California, United States • Developed a comprehensive and reliable solution that integrates a vision-based algorithm and advanced path-planning to facilitate dynamic movement in a walking robot equipped with an arm. This integration enables the robot to manipulate and transport objects with high precision and fluidity. • Successfully implemented the RRT* algorithm, achieving a 30% reduction in computing resources compared to traditional methods. This enhancement also quadrupled the effective workspace of the robot's arm, significantly improving its operational range and efficiency. • Applied PID control techniques to the quadruped's yaw and positional adjustments, ensuring stability and rapid convergence to target locations, thus maintaining the robot's equilibrium and performance under various conditions. • Enhanced the localization capabilities of the quadruped by integrating a Kalman filter, which effectively minimized both process and measurement noise associated with Ultra Wide Bandwidth sensors. This adjustment increased the accuracy of localization by fourfold, surpassing the performance of standard configurations. ### Multi-Purpose Route-Planning for an Autonomous Vacuum Robot Using MPC @ University of California, Berkeley Jan 2023 – Jan 2023 | California, United States Our team create a practical approach to autonomous navigation for the vacuum cleaner, leveraging the Model Predictive Control (MPC) framework. We have two success: • Reformulated the spatial model to a Linear Time-Varying system model with the Taylor Expansion and Euler Discretization method so that our optimization contains time as a third state variable for optimization. • Designed a recursive algorithm to keep tracking the time-varying maximum invariant set, which ensures the recursive feasibility of our MPC problem. ### Finite Time Optimal Control for Autonomous Vehicle Parking @ University of California, Berkeley Jan 2023 – Jan 2023 | California, United States • Defined various constraints for the bicycle parking problem, formulated a mathematical model, constructed it as a QP problem, and successfully developed a strategy and an algorithm to minimize the overall parking cost(distance and time spent). ### Mechanical Engineer @ Micron Technology Jan 2022 – Jan 2022 | No. 2, Huaya 5th Rd, Guishan District, Taoyuan City, 333 • Responsible for monitoring critical dimensions of wafers and eliminating special defect cases. Eventually, proposed a novel idea and improved 1.5% yield by decreasing the e-chuck voltage and adjusting the time between the specific steps. • Utilized cutting-edge software to design the flow in producing DDR5 SDRAM. ### NTUTEC Laboratory - Aircraft Team - Aerospace Engineer @ Red Bull Jan 2022 – Jan 2022 | Taiwan I organized an aircraft team with four of my friend from my college and crafted our very own, 9 meters human-powered aircraft with size and weight limitations. And Represented our college in the RedBull Flugtag competition and achieved the honor of Second Runner-up for the overall distance(25m) among over 600 competing teams. ### Research Assistant in Intelligent Vehicle & Mechatronics Laboratory - Iauto& Taiwan Mobile Co., Ltd @ National Taiwan University Jan 2021 – Jan 2022 | Taiwan Topic: Unmanned Food Delivery Vehicle (Cooperated with i-Auto Co., Ltd. and Taiwan Mobile Co., Ltd) • Developed combined algorithm to address the ’Multiple Vehicle Route Problems’ by Python. Took advantage of K-mean clustering and Dijkstra’s method, showcasing applications in real-worl • Optimized unmanned delivery operations, achieving a 40 % reduction in delivery time costs by dynamic programming and MPC with optimization solvers such as Gurobi and Pyomo. • Identified various constraints for the trajectories, defined the unmanned food fleet management as a Constrained Finite Optimal Control problem, and successfully developed an optimization solver for the 2021 Taiwan International Flower Expo with customized conditions specified by dining users. ### 2021 Wind-powered vehicle Competition @ National Taiwan University Jan 2021 – Jan 2021 • Executed PID control for the turning mechanism in our wind-powered vehicle. By utilizing a genetic algorithm to update hyperparameters, our team effectively fulfilled extreme turning capabilities, grasped target balls within a limited amount of time, and became the first team to accomplish the obstacle course. • Led the design and fabrication of an innovative wind-powered vehicle with a fan-shaped structure, utilizing laser cutting for the car body, programming the main Arduino controller, and implementing relay switches and electrical configurations to optimize power distribution and control mechanisms. ### Constructed a 1:1 Model of the Hubble Telescope and its space shuttle. @ National Taiwan University Jan 2021 – Jan 2021 | Taipei, Taipei City, Taiwan ### Project Engineer @ Song Chuan USA Inc Jan 2020 – Jan 2020 | No. 377, Zhonghua Rd, Shulin District, New Taipei City, 238 • Established mathematical models and assisted the process of the production of the Industrial relay. • Organized and coordinated the integration tasks to improve customer satisfaction rates under the team’s annual technological goal. ## Education ### Master of Engineering - MEng in Mechatronics, Robotics, and Automation Engineering University of California, Berkeley ### Master of Engineering - MEng in Automatics and robotics University of California, Berkeley ### Bachelor's degree in Mechanical Engineering National Taiwan University ### High School Diploma Taipei Municipal Jianguo High School ## Contact & Social - LinkedIn: https://linkedin.com/in/tzuyi-yang --- Source: https://flows.cv/tzuyi JSON Resume: https://flows.cv/tzuyi/resume.json Last updated: 2026-04-11