Drone Operations for
Martian Environment

The DOME project

The DOME Project (Drone Operations for Martian Environment) is a research group, built between universities and companies which aims at developing new remote and autonomous operated aerial platforms for the Environment of the Mars surface.
Aerial drone platforms are a cutting-edge technology asset in a huge range of human operations such as medical, firefighting and military scenarios. In extraplanetary exploration, aerial drone platforms can cover the operational conditions that meet both the high precision capabilities of surface rovers and the extensive areas coverage capabilities typical of orbital operations.

In almost 60 years of human exploration of Mars, we tested a wide range of technologies on its surface, using platforms as Rovers, probes and orbiters. Mars is the planets with the biggest robot population in the solar system.
Right now the most realistic strategy for a sustainble human presence on Mars is through the ISRU (In Situ Resources Utilization), which use can significantly reduce the need of continous resupply missions from earth.
Until we explored less then the 1% of the Mars surface. We need new platforms to rapidly increase our exploration capabilities if we want to seriously boost the first human missions.


Aerial Drone technology has evolved faster and faster during the last years thanks to its recognised value for the automation of human activities. Hardware miniaturization and high efficiency of machine learning protocols, brought this technology to a fundamental role in high-risks scenarios.
Mars, thanks to its similarity with the Earth in terms of planetary environmental condition, represents a total new ground to expand the boundaries of this technology.
Aerial drones can become a fundamental subsystem of every human activity on Mars: logistics, safety inspections, surface mapping and multispectral analysis can be safely left to swarms of autonomous flying drones.

The DOME project research background is focused on:

  • Deep learning algorithm
  • Solar power management
  • Object Tracking and obstacle avoidance
  • Human-Machine Interaction
  • Swarming
  • Flight attitude in Mars atmosphere
  • Remote sensing
  • Aerial mapping




Mars Society