Drone AI.

The Art of Autonomous Flight

Logo by Kay Crapoff

About Our Project

Welcome to Drone AI, where innovation in simulation technology meets the future of autonomous flight. Our mission is to develop a cutting-edge drone piloting simulator designed to train artificial intelligence for precise and reliable drone operation, with the ultimate goal of replacing human pilots in military applications.

Our Mission

At Drone AI, we are dedicated to creating a sophisticated simulator that mirrors the complexities of real-world drone flight. Our primary objective is to build a platform that accurately represents drone flight dynamics across diverse and realistic environments. By replicating real-world physics—such as gravity, drag, and collision detection—we ensure that our AI training environment offers a truly authentic flying experience.

What We Offer

Our simulator is engineered to cover a broad spectrum of environmental scenarios, including urban landscapes, rural terrains, and challenging obstacle courses. This diversity in settings is crucial for generating comprehensive datasets that include a wide array of flight parameters, sensor data, and environmental conditions. These datasets are vital for training and refining machine learning models, providing a controlled, risk-free environment where algorithms can be tested and optimized.

Technological Excellence

We have chosen Unreal Engine for our simulation platform due to its unparalleled capabilities in advanced physics, high-fidelity graphics, and real-time interactions. Unreal Engine’s flexibility and customization options are perfect for creating interactive and responsive training scenarios, offering significant advantages over other simulation platforms in terms of scalability and performance.

Our Approach

The simulator’s modular architecture allows for adaptability and growth. The simulation process begins with setting up the environment and configuring essential parameters. It then runs in real-time, managing interactions and collecting data on flight parameters, environmental conditions, and sensor outputs. This data is meticulously analyzed to improve and refine our machine learning models, ensuring that our AI systems are trained to meet the highest standards of performance and reliability.

Diverse Environments

Our simulator features a range of meticulously designed environments, from detailed urban settings with realistic buildings and obstacles to expansive rural and natural landscapes. We use advanced techniques, such as Nanite technology, to model natural elements with high realism and performance. Additionally, our specialized obstacle courses are designed to test and enhance drone agility and control, providing varied levels of difficulty to challenge our AI in diverse scenarios.

Why It Matters

Drone AI is more than a simulator; it represents a significant step forward in the evolution of autonomous drone technology. By advancing the capabilities of AI in drone piloting, we aim to enhance operational efficiency and safety, offering a viable and advanced alternative to human drone pilots in military operations.

Join us in shaping the future of drone technology with Drone AI, where cutting-edge simulation and artificial intelligence come together to redefine the possibilities of flight.

Portfolio

Check our Portfolio

  • All
  • Maps
  • Unreal
  • Demo

Desert Map

Red Rock Desert

Drone Model

Model of Our Drone in Unreal

Drone Flight Demo 1

Our Drone Model Flying in Our Map

Town Map

Model of a Town

Drone Camera

Setting Up The Drone Camera

Drone Flight Demo 2

Our Drone Model Flying in Our Map

Drone Flight Demo 3

Our Drone Model Flying in Our Map

Team

our Team

Jorge Fonseca Cacho, Ph.D.

Supervising Professor

Gaurab Subedi

Doctorate Student, CS

Kay Crapoff

Undergraduate Student, CS

MacGyver Codilla

Undergraduate Student, CS

Alan Reisenauer

Undergraduate Student, CS

Keith Tan

Undergraduate Student, CS

Contact

Contact Us

Address

4505 S Maryland Pkwy, Las Vegas, NV 89154

Call Us

702-895-4852

Email Us

jorge.fonsecacacho@unlv.edu