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  KEYWORD

Area Engineering

Setup, configuration, and programming of a swarm of autonomous UAVs for a stable and precise flight in an indoor environment

azienda Thesis in external company    


keywords DRONES, ROBOTICS, UAV

Reference persons STEFANO PRIMATESTA

External reference persons Enrico Ferrera (LINKS Foundations)

Research Groups 08- Dinamica, controllo e simulazione del volo

Thesis type SPERIMENTAL

Description Unmanned Aerial Vehicles (UAVs) have become so widespread and advanced to be adopted in a multitude of outdoor applications beyond the only entertainment, such as parcel delivery, inspection, security, etc. However, the same cannot be said for indoor environments due to a lack of global positioning system (GPS) availability, and the high instability that the wall/ceiling effect and the flight of other close UAVs may introduce.
The goal of this thesis is to study and analyze the hardware and software architecture of such quadcopters to be implemented for stable and precise autonomous navigation in an indoor environment. Consequently, a setup, proper configuration of the UAV’s parameters, and programming of basic navigation trajectories for a minimal set of 2-3 small-sized UAVs in an indoor environment will be implemented.

Activity Description
- Analysis of typical hardware (boards, relevant sensors and actuators, other devices) and software (flight control firmware, navigation and collision avoidance systems, relevant libraries, etc.) architectures
- Complete hardware setup of at least 2 UAVs belonging to the swarm (starting from existing available endowment)
- Accurate analysis, understanding and setup of the proper UAV configuration parameters for a stable and precise flight in indoor environments
- Development of a basic navigation of the UAV swarm based on an optical positioning system for precise indoor localization

See also  msc_thesis_proposal_2024_links_indooruav.pdf 

Required skills Experience with ROS/ROS2
C++ and/or Python programming skills


Deadline 14/02/2025      PROPONI LA TUA CANDIDATURA