Low Cost Aerial Autonomy (U.S. Only)

Goals
To improve the performance of autonomous mobile systems, particularly aerial vehicles.
Issues Involved or Addressed
Subteam 1: IGNTE (Inference and Guidance for Navigation in Thermal Environments)
Fires are an ever-present danger to both the environment and human safety. Our team uses autonomous systems to assess and mitigate these disasters. We focus on improving the capabilities of ground and aerial drones, making them smarter, more resilient, and better able to survive harsh thermal conditions. This is a simulation-oriented team, and you’ll get hands-on experience with system modeling, autonomy and multi-agent environments.
Subteam 2: Multi-Agent Autonomy in Adversarial Environments
As UAV usage in adversarial environments becomes more prominent, coordination between teams of agents is crucial for mission success. This VIP group focuses on applying artificial intelligence and trajectory optimization algorithms into multiagent, simulated, six-degree-of-freedom aerial engagements to leverage teaming against adversaries. As a part of this team, you will gain experience in flight dynamics simulation, multiagent environments, modern and classical AI algorithms, and game theory.
Partners/Sponsors
Sandia National Labs
Methods and Technologies
- Mechatronics
- Feedback Control
- Embedded Programming
- Machine Learning
- Design
- Navigation
- Autonomy
Majors Sought
Computing: Computer Science
Engineering: Aerospace Engineering, Computer Engineering, Electrical Engineering, Mechanical Engineering
Sciences: Mathematics
Preferred Interests and Preparation
While the team does not usually have online students, online students with highly relevant backgrounds are encouraged to join. Example areas are: flight mechanics/simulation, model/rc aircraft, machine learning, path planning, computer game programming.
Advisor
Anirban Mazumdar
Anirban Mazumdar
anirban.mazumdar@me.gatech.edu
Day, Time & Location
Full Team Meeting:
2:00-2:50 Wednesday
GTMI 431/401
Subteam meetings scheduled after classes begin.