University of Redlands Robotics & Drones — student-led lab and club focused on UAVs, ground robots, and autonomous systems.
As President of UoR Robotics & Drones, I lead a multidisciplinary team that designs, builds, and tests autonomous robots and UAV platforms. We focus on combining mechanical design, embedded control, sensor fusion, and perception to create systems that can navigate and interact with real environments on and around campus.
Ground robot concept for campus food delivery, integrating LiDar, computer vision, GPS, and sensor fusion to navigate around pedestrians and obstacles. The system is being developed with a secure QR-code unlocking mechanism, custom chassis, and a software dashboard for operators to monitor status and routes.
Fixed-wing UAV inspired by the AAI RQ-7 Shadow, designed as a testbed for autonomy and long-range sensing. Work includes airframe CAD, propulsion system sizing, control surface layout, and avionics integration with autopilot hardware, telemetry links, and onboard compute for navigation and future AI capabilities.
Development of quadcopter workflows where drones can autonomously return to a rover docking platform. Projects focus on integrating flight controllers, LiDar, vision, and control software, with real-time telemetry routed to a custom ground control dashboard.
Airframe and chassis design, actuator layouts, mounting solutions, SolidWorks/Onshape modeling, and rapid mechanical iteration for UAVs and ground robots.
Microcontrollers, flight controllers, motor drivers, PWM/ESC control, sensor integration (LiDar, IMU, GPS, cameras), and PID-based flight/drive control.
Python and C++ for telemetry dashboards, basic vision pipelines, mapping, and logging; integration with GIS and data analysis workflows.
Project scoping, task breakdowns, design reviews, safety procedures, launch/field-test planning, and mentoring new members in robotics fundamentals.