OPEN POSITIONS - MASTER THESIS

Development of virtual and real experimental setup for ML algorithms testing in precision agriculture applications

The scope of the first part of the thesis is to develop a virtual environment using standard software tools and suites (under ROS) to test navigation algorithms using ML techniques.
In the second part the same environment will be implemented in the laboratory to test the algorithms with real hardware and rovers (Jackal ClearPath or Turtlebot3) and include some payloads (cameras, lidars, etc…). Finally, some test on the field (wine yard or orchard) will be done to finalize the performances.

Supervisor:

M. Chiaberge, A.Tartaglia

Collaboration:
University of Torino, EPF Automation (Carrù)

Code: 2019MDL01

Voice based HMI in service robotic applications

The scope of the thesis is to integrate a voice-based HMI system (Google Assistant) on a UGV in order to interact and send command to the rover. The thesis will start from the Google Assistant SDK for devices in order to embed the Google Assistant hardware directly on a rover.
The system will be tested in the laboratory using a Turtlebot3 rover.

 

Supervisor:
M. Chiaberge, V. Mazzia

Collaboration:
UPC Barcelona

Code: 2019ROB02

3D-modelling reconstruction techniques using LIDAR and camera sensors in robotic applications

The scope of the thesis is to test, integrate and harmonize in a unique tool-chain, all the software tools and algorithm needed to create 3D model starting from data obtained from LIDARs and cameras. These sensors are normally onboard a UGV or a UAV used for autonomous operations and are used to collect data in environment where humans are not supposed to go. The goal is to demonstrate the reliability of the 3D reconstruction techniques in robotic applications.

Supervisor:
M. Chiaberge, L. Galtarossa, I. Aicardi, A. Lingua


Collaboration:
DIATI department


Code: 2019ROB07

Visual-Inertial Odometry techniques in robotic applications

Modern visual-inertial odometry (VIO) systems can provide accurate and robust pose and velocity estimate using the combination of cameras and IMUs. The goal of the thesis is to test and integrate state-of-the-art methodologies and techniques in surveillance applications using UAVs and UGVs.
A second goal is to highlight critical aspects of this kind of technology in robotic applications suggesting counterfeiting solutions.

Supervisor:

M.Chiaberge, J. Zoto, L. Galtarossa

Collaboration: ~

Code: 2019ROB04

Development and testing of a smartphone-based autopilot for UAVs and UGVs

The goal of the thesis is to demonstrate the reliability of a modern smartphone as a complete integrated autopilot for UGVs or UAVs using all the internal sensors (IMU, magnetometer, camera, barometer, etc…), data connections (WiFi, Bluetooth, 4G) and computing capabilities. The thesis start from an already existing setup and will integrate the smartphone on a drone to test performances and controllability.

Supervisor:
M. Chiaberge, G. Dara

Collaboration:
~

Code: 2019ROB05

Development and testing of a ROS-based cloud data structure for service robotic applications

  • Data gathering and analysis through ROS software framework
  • Off-board raw data computation using a cloud structure
  • Development of a cloud-devices interface

 

Supervisor:
M. Chiaberge, L. Navilli

Collaboration:
~

Code: 2019ROB06

Real-time communications between robots (drones/rovers) using mobile devices

The scope of this thesis is to study and implement a system to allow real-time communications between robots (drones/rovers) using mobile devices, such as smartphones. The focus is on extending an Android application to tightly control communication latency in order to transmit time-sensitive information such as positioning, as well as to eventually develop a simple communication protocol that allows direct communication between the devices even when access point support is missing.

Supervisor:
E. Masala

Collaboration:
~

Code: 2019COM01

Multimedia data processing from robots (drones/rovers)

The scope of this thesis is to study and implement a system that can efficiently handle multimedia data produced by drones and rovers, e.g. RGB or multispectral images. It is expected to develop efficient processing and storage algorithms, as well as to identify interesting areas in the image that might need further elaboration. Other types of information could include data coming from sensors of a typical smartphone device including, for instance, wireless signal strength.
A second goal is to highlight critical aspects of this kind of technology in robotic applications suggesting counterfeiting solutions.

Supervisor:
E. Masala

Collaboration:
~

Code: 2019COM02

IR images for visual odometry

The thesis will be focused in the testing and integration of an InfraRed sensor helpful for the autonomous navigation. This system will be composed by two IR active cameras and an RGB sensor, and it will be integrated in a visul odometry process to determine the position and orientation of a ground/aerial vehicle in a real environment.

Supervisor:
I. Aicardi, A. Lingua, V. Di Pietra

Collaboration:~

Code: 2019VIS01

Ultra wideband implementation on UAVs

The scope of the thesis is to integrate and test the Ultra Wideband technology on Unmanned Aerial Vehicles. Sensors and algorithms have already been tested in controlled and ground case studies. The thesis will be focused on sensors installation and management, analysis and mitigation of engine interferences, technology testing and validation.

Supervisor:
A. Lingua, V. Di Pietra, M. Chiaberge

Collaboration:
~

Code:  2019VIS02

Hyperspectral analysis in precision agriculture environment

Precision agriculture is now a key topic where the use of multi-bands sensors can help in the early detection of plant diseases and in the study of their state of health. The scope of this thesis is to evaluate the use of a hyperspectral camera in a vineyard environment and to study and implement its installation on board of an Unmanned Aerial Vechicle.

Supervisor: I. Aicardi, A. Lingua, M.A. Musci Collaboration:~ Code:  2019VIS03

Autopilot implementation on a ground vehicle

The scope of the thesis is the implementation of an autopilot on a ground vehicle. The vehicle is already available and the system must provide an autonomous (and programmed) navigation with the possibility to integrate sensors, like a First Person View system, positioning sensors, cameras and laser for points cloud generation.

Supervisor:
I. Aicardi, A. Lingua, P. Maschio

Collaboration:
~

Code: 2019ROB08