Author: Francesco Verdoja
Master thesis topics are out
Are you a student interested in working with real robots on a challenging master thesis? Check our the open topics!
Season-invariant GNSS-denied visual localization for UAVs
This repository contains data and code for manuscript J. Kinnari, F. Verdoja, V. Kyrki “Season-invariant GNSS-denied visual localization for UAVs”.
Video on “Probabilistic Surface Friction Estimation Based on Visual and Haptic Measurements”
Watch the video demonstration of our latest paper on friction coefficient estimation
Master thesis on “People flow maps for indoor robot navigation”
This thesis goal is to develop a probabilistic approach for building and updating people flow maps able to help the robot being socially-aware while navigating by predicting people movement.
Video Presentation at PAL workshop @ ICRA2020 “On the Potential of Smarter Multi-layer Maps in Robotics”
Watch the video presentation of our latest paper in the Hypermaps project
Hypermaps at PAL ICRA 2020 workshop
We presented the core idea behind the Hypermaps project at the ICRA 2020 workshop on Perception, Action, Learning (PAL)