Skip to main content
search results
Sorry, but nothing matched your search terms. Sorry, but nothing matched your search terms. Sorry, but nothing matched your search terms.
Sorry, but we cannot handle your search query now. Please, try again later! Sorry, but we cannot handle your search query now. Please, try again later! Sorry, but we cannot handle your search query now. Please, try again later!
Search suggestions

case study

Co-drones – an autonomous and cooperative fleet of drones

The context

The logistics market has been undergoing a revolution since the arrival of intelligent and autonomous systems. These solutions are also useful for quality inspection processes in different industries to automate certain tasks and facilitate the transmission of information.

Play Video

The project

The aim of the project Co-drones is to launch a cooperative fleet of drones that can map areas, identify objects or people, and deliver loads. Designed to be autonomous, the drones can self-organise according to different parameters such as location.

This innovation is designed to deal with delivery issues. It can be extended to quality inspection in different industries, whether rail, nuclear power, aerospace or marine.

A fleet of drones, unlike a single drone, increases performance and productivity. It allows a better cost-saving policy thanks to its wider geographic coverage and longer range.

Expleo’s expertise in action

  • Autonomous systems
  • System-to-system communication
  • Indoor localisation
  • Machine learning
  • Image and video processing
  • Mechanical engineering

What’s next?

This solution of self-organisation of a system composed of several intelligent equipments can be extended to other applications besides drones (ex: robots, cameras, …).

Contact us for more information on R&D projects at Expleo.

INNOVATION MANAGEMENT & SOLUTIONS

Autonomous control / ADAS

Bringing the best-of-knowledge in connected sensors, data analytics and machine learning, Expleo can provide an end-to-end approach of autonomous control systems for any types of vehicles, from the design phase to the real-life testing, through engineering.