Marco Peterson

About

Marco Peterson is a pioneering aerospace engineer whose work bridges autonomous drone systems and space exploration technologies. His research centers on three key areas: distributed multi-UAV flight systems, hardware-in-the-loop simulation for space applications, and computer vision for planetary exploration. Peterson's most impactful contribution is his 2019 paper on a fully distributed multipurpose autonomous flight system using 3D position tracking and ROS, which has garnered 14 citations and established a low-cost, plug-and-play architecture for multi-UAV operations. His 2022 work on SpaceDrones 2.0 (6 citations) represents a significant leap forward, introducing hardware-in-the-loop validation methods for orbital and deep space machine learning tasks using free-flying drone platforms. Peterson has also advanced planetary exploration through his IR-based local tracking system assessment for missions to Mars and Titan, and his comprehensive evaluation of orbital robotics and space application simulation methods. His research is particularly notable for developing practical validation techniques that bridge the gap between terrestrial drone testing and space mission requirements, making him a key figure in the growing field of space robotics and autonomous systems.

Research Focus

Key Achievements

Top Papers

1. 1
   A Full Distributed Multipurpose Autonomous Flight System Using 3D Position Tracking and ROS

   14 citations · 2019
2. 2
   SpaceDrones 2.0—Hardware-in-the-Loop Simulation and Validation for Orbital and Deep Space Computer Vision and Machine Learning Tasking Using Free-Flying Drone Platforms

   6 citations · 2022
3. 3
   IR based local tracking system Assessment for planetary exploration missions

   2 citations · 2020
4. 4
   Comprehensive Assessment of Orbital Robotics, Space Application Simulation/Machine Learning, and Methods of Hardware in the Loop Validation

   2 citations · 2022

Key Collaborators

Contact & Links