My name is Joe, a Computer Science major at the Georgia Institute of Technology 🐝 working on robotics, autonomy, and software systems. This collection showcases various projects I've developed, demonstrating expertise in robotics, embedded systems, AI algorithms, and sensor integration.
Overview: Paesano is my primary robotics platform: a holonomic autonomous robot built for indoor navigation, path planning, localization, and closed-loop trajectory following. The system uses a Raspberry Pi 5 for high-level planning and estimation, a Raspberry Pi Pico for real-time motor control, and onboard sensing from a BNO085 IMU, LD19 LiDAR, and wheel encoders. The architecture is modular across firmware, control, localization, navigation, and mobile integration, with custom 3D-printed hardware and ROS 2-based software written primarily in C++.
Overview: This project combines computer vision with closed-loop servo control to build a real-time target tracking system. A camera detects and tracks colored objects, then sends position updates to an Arduino-controlled pan-tilt mechanism that keeps the target centered. The work focuses on vision processing, serial communication, and smooth actuator control rather than the specific hardware mounted on the platform.
Team: Made in collaboration with Francis Leahy and Matthew Russo
Overview: SWISHHH! is a four-person AI ATL group project built around live NBA game data, webcam gesture input, and real-time shot prediction gameplay. The app combines live scoreboard and play-by-play feeds with gesture-based interaction to create a polished, fast-moving prediction experience. I include it here as a collaboration project rather than a solo-owned codebase.
Result: Winner of the AI ATL PrizePicks / Matt Steele Tracks challenge
Team: Made in collaboration with Kevin Gao, Nash Pillai, and Neha Nataraj
Links: Original Repository · Devpost · Archived Demo
Overview: Cosmic Collector is a four-person Robotech 2026 hackathon project built around autonomous cave navigation, wall avoidance, and physical ore marking in a Mars-inspired environment. The robot combined a mecanum chassis, camera, IMU, LiDAR, ROS-based navigation, and custom ESP32 firmware under tight hackathon time pressure.
Team: Made in collaboration with Hiroyuki Sakuma, Nash Pillai, and Quinn Kortbus
Links: Original Repository · Devpost
This portfolio demonstrates proficiency in technologies central to autonomous systems and robotics, including:
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Robotics & Embedded Systems: C++, Python, ROS2, Probabilistic State Estimation (Extended Kalman Filter, Monte Carlo Localization), Control Algorithms (PID, LQR), Path Planning Algorithms (A*), Real-time Motor Control, Sensor Fusion, I2C Communication, Firmware Development, Mechanical Design (CAD, 3D Printing), Arduino, Raspberry Pi, ESP32
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AI/ML & NLP: OpenAI API, OpenCV, Prompt Engineering, Large Language Models (LLMs)
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Computer Vision: OpenCV (Object Detection, Tracking, Filtering, Color Spaces)
For any inquiries or collaborations, feel free to reach out to me!:
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Phone: 1-845-219-2687
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Email: [email protected]
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LinkedIn: Joseph Marra