Project Overview
Led the development of an FAA Part 107 compliant carbon fiber quadcopter, focusing on precision payload delivery and autonomous navigation. Grew the team from 15 to 75 active members while securing major industry partnerships.
70%
Vibration Reduction
<5ft
Payload Accuracy
95%
Detection Accuracy
Technical Innovations
Structural Design & Analysis
Optimized carbon fiber frame design through comprehensive simulation and testing.
- Developed aircraft CAD in SOLIDWORKS utilizing top-down assembly design and parametric optimization for rapid iteration
- Conducted detailed ANSYS Mechanical analysis including modal, harmonic, and fatigue studies
- Performed CFD simulations using ANSYS Fluent, achieving 15% aerodynamic efficiency improvement
- Designed optimized motor mounts reducing high-frequency vibrations by 70%
- Implemented composite layup optimization for optimal weight-to-strength ratio
Avionics & Control Systems
Engineered robust data pipeline integrating multiple systems for autonomous operation.
- Integrated Nvidia Jetson with Pixhawk flight controller for advanced autonomy
- Implemented YOLOv8 model achieving 95% accuracy in object detection
- Developed custom vision-based object localization system for precise navigation
Payload Delivery System
Engineered precision delivery mechanism for competition requirements.
- <5 ft payload delivery accuracy
- Developed altitude-triggered release system requiring no sensors
- Designed soft-landing mechanism ensuring package integrity on delivery
- Implemented fail-safe mechanisms for secure payload retention
Flight Testing & Operations
Established comprehensive flight testing protocols and safety procedures to validate autonomous systems performance.
- Led extensive flight testing campaigns as FAA Part 107 certified remote pilot
- Developed systematic test procedures for validating autonomous capabilities
- Conducted thorough validation of payload delivery and detection systems
- Established safety protocols and emergency procedures for complex autonomous missions
Technologies Used
SOLIDWORKS
ANSYS
PX4
Python
C++
ROS
OpenCV
YOLOv8
Mavlink
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