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@MSOE-Machine-Learning-Drone-Club

MSOE ML Drones

A group of honors students creating a drone with fully autonomous vision

MSOE Machine Learning Drone Club

Welcome to our GitHub organization, we are a team of dedicated students from the Milwaukee School of Engineering (MSOE) embarking on an innovative project: developing an embedded drone system controlled by a Rust-based embedded machine learning system. Our team is committed to pushing the boundaries of autonomous drone technology.

Project Overview

Our project focuses on designing and implementing a completely DIY drone system. The core of our innovation lies in the integration of embedded machine learning, a cutting-edge approach in artificial intelligence, using the Rust programming language known for its safety and performance. This combination ensures a robust, efficient, and reliable system, setting new standards in the field of autonomous drones.

DALL·E 2024-01-20 15 01 23 - A high-tech drone with a sleek, futuristic design, built around an ESP32 microcontroller  The drone is equipped with advanced computer vision technolo

Team Composition

Our group is a blend of students specializing in various disciplines such as computer engineering, software engineering, and electrical engineering. Each member brings a unique set of skills and perspectives, fostering an environment of collaboration and innovation. We are united by our passion for technology and our ambition to contribute meaningfully to the evolving landscape of drone technology.

Objectives

Innovation in Embedded Systems: Harnessing Rust's capabilities to develop a safe, concurrent, and practical embedded system for drone control. Advancement in Machine Learning: Implementing machine learning algorithms specifically optimized for embedded systems, enhancing the drone's decision-making and responsiveness. Real-World Application: Designing the drone system to be versatile and adaptable for various practical applications, ranging from environmental monitoring to search and rescue operations.

Collaboration and Open Source Contribution

Our project is more than just an academic pursuit; it is a platform for collaboration and open-source contribution. We encourage the involvement of the broader community, welcoming ideas, feedback, and contributions. Through this collaborative spirit, we aim to not only achieve our project goals but also to contribute to the wider open-source community and the field of embedded systems.

Contact and Participation

Interested parties, including fellow students, researchers, and enthusiasts, are invited to join us in this exciting journey. For more details, collaboration opportunities, or to get involved, please feel free to reach out through one of our emails: eversonb@msoe.edu

Popular repositories Loading

  1. rust-embedded-demo rust-embedded-demo Public

    Rust 1

  2. esp-idf-unda esp-idf-unda Public

    Forked from unda-ml/unda

    Lightweight neural network library for running compiled models on embedded systems

    Rust 1

  3. Embedded-Program Embedded-Program Public

    This folder is for the embedded code on the ESP32-S3.

    C++ 1

  4. .github .github Public

Repositories

Showing 4 of 4 repositories
  • esp-idf-unda Public Forked from unda-ml/unda

    Lightweight neural network library for running compiled models on embedded systems

    MSOE-Machine-Learning-Drone-Club/esp-idf-unda’s past year of commit activity
    Rust 1 4 0 0 Updated Apr 16, 2024
  • Embedded-Program Public

    This folder is for the embedded code on the ESP32-S3.

    MSOE-Machine-Learning-Drone-Club/Embedded-Program’s past year of commit activity
    C++ 1 0 0 0 Updated Mar 3, 2024
  • MSOE-Machine-Learning-Drone-Club/rust-embedded-demo’s past year of commit activity
    Rust 1 0 0 0 Updated Feb 13, 2024
  • .github Public
    MSOE-Machine-Learning-Drone-Club/.github’s past year of commit activity
    0 0 0 0 Updated Jan 27, 2024

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