Mechatronics Engineering Technology | Robotics | Embedded Systems | Automation
I build integrated mechatronic systems that combine sensors, embedded control, mechanical design, data acquisition, and real-world testing. My project work focuses on robotics, automation, controls, and electromechanical systems.
- B.S. Mechatronics Engineering Technology, Texas A&M University
- M.S. Engineering Technology coursework in progress
- Interests: robotics, controls, automation, embedded systems, manufacturing/test engineering
- LinkedIn: javierbricenorodriguez
Autonomous robotic platform integrating LIDAR navigation, computer vision, PID control, and a pan-tilt target-tracking system.
Highlights
- Implemented LIDAR-based obstacle avoidance using real-time scan data.
- Built an OpenCV color-detection pipeline for target tracking.
- Converted camera pixel error into PID-controlled pan/tilt corrections.
- Integrated motor drivers, encoders, LIDAR, camera, and servo actuation into a modular robotic system.
Tools: Python, OpenCV, LIDAR, PID control, motor drivers, encoders, servo control
Wearable rehabilitation device integrating flex sensors, IMUs, pulse sensing, embedded acquisition, and real-time visualization.
Highlights
- Leading mechanical design for sensor placement, ergonomics, and repeatability.
- Architecting ESP32-based multi-sensor data acquisition.
- Developing Raspberry Pi GUI concepts for joint-angle and pulse visualization.
- Performing calibration testing to map sensor outputs to physical motion.
Tools: ESP32, Raspberry Pi, sensors, CAD, 3D printing, embedded systems, GUI design
Arduino-based differential-drive robot using IR sensors and PD control for stable real-time path tracking.
Highlights
- Implemented real-time feedback control for steering correction.
- Tuned PD gains to reduce oscillation and improve response.
- Derived a system transfer function to support controller design.
- Designed a CAD mount for consistent IR sensor alignment.
Tools: Arduino, C/C++, PD control, IR sensors, motor driver, CAD
Conceptual engineering design and analysis of kinetic energy recovery systems for traction elevators in collaboration with KLEEMANN.
Highlights
- Modeled coil-magnet energy recovery using Faraday’s Law.
- Compared multiple KERS design concepts and tradeoffs.
- Evaluated lifecycle and sustainability strategies for elevator systems.
- Presented engineering recommendations to industry R&D stakeholders.
Tools: engineering analysis, system design, sustainability, energy recovery, technical presentation
MSP430-based secure vault architecture using RFID authentication, LCD feedback, and PWM servo actuation.
Highlights
- Designed embedded architecture using SPI, I2C, and PWM interfaces.
- Defined subsystem roles for authentication, user feedback, and actuation.
- Created system-level block diagrams and design documentation.
Tools: MSP430, RFID, SPI, I2C, PWM, embedded systems, system architecture
Programming: Python, C/C++, Assembly
Embedded Systems: ESP32, MSP430, STM32, Raspberry Pi, UART, I2C, SPI, PWM, FreeRTOS
Robotics & Controls: PID/PD control, mobile robotics, LIDAR, encoders, IMUs, ROS2, MATLAB, Simulink
Hardware & Test: sensor integration, data acquisition, motor drivers, analog circuits, troubleshooting, calibration
Mechanical/CAD: SolidWorks, Fusion 360, 3D printing, fixture/enclosure design
- Building stronger evidence for robotics, automation, and test engineering roles.
- Expanding PLC/HMI and industrial automation skills.
- Documenting projects with clear architecture, results, and reproducible setup notes.