Low Cost Aerial Autonomy (U.S. Only)

Goals

To examine how small, low cost unmanned aerial vehicles can be used to deliver items, operate in constrained environments, and maximize efficiency. To achieve this, we will develop electromechanical designs, avionics, and algorithms for small, low cost, aerial vehicles. We will first focus on developing gliding vehicles that are catapult launched. Once the platforms are developed, we will use the systems to perform a series of increasingly complex example missions.
Due to ITAR and other access restrictions this project is limited to US citizens only.

Issues Involved or Addressed

Designing small gliding unmanned aerial vehicles. Achieving actuation, sensing, and computation with a small size, weight, and power footprint. Performing path-planning in advance and potentially in real time. Navigation using way-points or onboard sensors. Physically interacting with the environment for landing in constrained spaces or delivering items. Perceiving potential obstacles or risks of collisions. Reacting to un-modeled effects or disturbances

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.

Advisors

Anirban Mazumdar
Anirban Mazumdar
anirban.mazumdar@me.gatech.edu

Panagiotis Tsiotras
Aerospace Engineering
tsiotras@gatech.edu

Day, Time & Location

Full Team Meeting:
2:00-2:50 Wednesday
GTMI 431/401

Subteam meetings scheduled after classes begin.