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Driven by my passion for learning and hands-on engineering, I completed Dr. Peter Burke’s Drones course at UCI. Throughout the experience, I built a fully autonomous UAV from the ground up, assembling the mechanical chassis, soldering and integrating the full electronics and power system, and configuring all onboard sensors including the IMU, GPS, ESCs, telemetry radios, and failsafe features. I then calibrated the ArduPilot firmware, tuned the PID control loops for stable flight, and developed a complete GPS-guided autonomous mission involving takeoff, waypoint navigation, and landing.
Seeing the drone I built from scratch execute a fully autonomous mission was one of the most rewarding engineering moments in my recent work. The project strengthened my skills in embedded systems, control, sensor fusion, and autonomy while reminding me how much I enjoy diving into new technical domains and building functional systems end-to-end. This work reflects my commitment to continuous growth, my adaptability across engineering disciplines, and my proactive mindset when embracing complex engineering challenges.
I led and mentored a team of engineering students in the full redesign of Jean Luc, an animatronic robot featured in the Winter Lights show at the Discovery Cube in Orange County. This revamp modernized the robot’s mechanical design, electronics, and embedded systems to support live, repeatable performances.
Key contributions included:
Redesigning the robot’s mechanical architecture for expressive, reliable movement.
Developing a custom PCB with integrated power electronics.
Programming embedded software to synchronize with audio-visual cues.
Creating a human-machine interface (HMI) to enhance real-time actor control.
This project led to the following publication:
IEEE Conference Paper (Best Paper Award 🏆) – Jean Luc: An Animatronic Robot for Challenge-Based Learning and STEAM Outreach.
This project highlights my ability to translate artistic vision into functional robotic systems and to lead multidisciplinary efforts from concept to live deployment.
RaccoonBot is one of my most exciting projects—an autonomous, bio-inspired robot designed to traverse wires while tracking the sun to maximize solar energy intake. I led its development from concept to deployment, combining mechanical design, 3D printing, embedded systems, and power electronics into a compact, field-ready platform.
This mechatronic system uses onboard sensors, an embedded solar-tracking algorithm, and a custom-built power management circuit to enable long-term autonomous operation. It communicates wirelessly via an edge-to-cloud architecture, transmitting data for environmental monitoring at Crystal Cove State Park since July 10, 2025.
The project was featured in the LA Times for its innovative, nature-inspired approach to robotics and sustainability:
It also led to the following publications:
IEEE ICRA 2025 – RaccoonBot: An Autonomous Wire-Traversing Solar-Tracking Robot for Persistent Environmental Monitoring.
IEEE Access Journal Paper – V-model Based Mechatronic and Power Electronics Integration for an Efficient Solar-Powered Wire-Traversing Robot.
IEEE Conference Paper – Noise Mitigation in Power Sensing under EMI via RMS-Based Numerical Filtering for Embedded Systems in Mechatronic Devices.
RaccoonBot blends creativity, engineering, and environmental awareness—and represents exactly the kind of purpose-driven robotics I love to build.
During my Ph.D. at Tecnológico de Monterrey, I developed a self-balancing robot with custom mechanical design, motor drivers, and a PID controller optimized using the Particle Swarm Optimization (PSO) algorithm, all running on an NXP FRDM-K64F embedded platform. I presented this work at the joint ICMEAE-2020 and ICCRE-2020 IEEE conferences in Osaka, Japan, where it received the Best Presentation Award.
The project resulted in the following publication:
IEEE Conference Paper – Self-Balancing Robot Control Optimization Using PSO.
This project deepened my expertise in control systems, mechatronic integration, and embedded optimization techniques.
During my Ph.D. at Tecnologico de Monterrey, I developed a Furuta Pendulum system with custom mechanical design, power electronics, and an embedded MRAC-PID controller running on an NXP FRDM-K64F board. This mechatronic system stabilized a nonlinear plant in real time and integrated adaptive control techniques with hardware implementation.
I presented this work at the joint ICMEAE-2019 and ICCRE-2019 IEEE conferences in Nanjing, China, where it received the Best Presentation Award. An extended version was later published in a peer-reviewed journal, highlighting an ANN-based MRAC-PID strategy.
The project resulted in the following publications:
IEEE Conference Paper – Design, Implementation and Nonlinear Control Analysis of a Furuta Pendulum System.
Extended Journal Paper – ANN Based MRAC-PID Controller Implementation for a Furuta Pendulum System Stabilization (ASTESJ).
This project reflects my strength in integrating control theory with real-time embedded systems—skills I continue to apply in robotics and intelligent mechatronic design.
As lead engineer for my final degree project at Tecnológico de Monterrey (B.Sc. in Mechatronics Engineering, Robotics Concentration), I led a team to design and implement a wearable lower-limb rehabilitation exoskeleton. This multidisciplinary project combined mechanical, electrical, and embedded system design to deliver a functional prototype.
I took charge of the mechanical design and supervised CNC machining of custom parts. I developed the complete electronics system, including schematic design, PCB fabrication, and soldering. Together with my team, we integrated electromyographic (EMG) sensors for muscle-driven control and rotary encoders for motor velocity feedback. I personally implemented all embedded control software in C, covering signal processing and motor control on a microcontroller platform.
This project provided invaluable experience in leading a full-cycle mechatronic development effort and strengthened my expertise in robotics and embedded control systems.
As part of the capstone project for a robotics course within my concentration at Tecnológico de Monterrey, I developed an autonomous four-legged line-following robotic spider. I handled the full embedded systems development, from sensor integration to control logic, and assembled and instrumented the entire platform. The robot was designed to demonstrate walking gait coordination and responsive movement through embedded programming in C.
This hands-on project reinforced my skills in embedded control, mechatronic integration, and quadruped locomotion strategies.