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
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, CSContact
Contact Us
Address
4505 S Maryland Pkwy, Las Vegas, NV 89154
Call Us
702-895-4852
Email Us
jorge.fonsecacacho@unlv.edu