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Update author profile for Francesco Riz
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lucabeber committed Oct 24, 2024
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---
# Display name
title: Francesco Riz

# Full name (for SEO)
first_name: Francesco
last_name: Riz

# Username (this should match the folder name)
authors:
- francescoriz

# Is this the primary user of the site?
superuser: false

# Role/position
role: Former PhD Student

# Organizations/Affiliations
organizations:
- name: University of Trento
# url: 'https://webapps.unitn.it/du/en/Persona/PER0263728/'

# Short bio (displayed in user profile at end of posts)
# bio: Passionate researcher in human-robot interaction with applications to healthcare and manufacturing.

interests:
- Mobile Robotics
- State Estimation with Ranging Sensors
- Observability and Constructibility
- Perception-Aware Motion Planning

education:
courses:
- course: PhD in Information and Communication Technology (ICT)
institution: University of Trento
year: 2024
- course: MSc in Mechatronics Engineering
institution: University of Trento
year: 2020
- course: BSc in Industrial Engineering
institution: University of Trento
year: 2018

# Social/Academic Networking
# For available icons, see: https://docs.hugoblox.com/getting-started/page-builder/#icons
# For an email link, use "fas" icon pack, "envelope" icon, and a link in the
# form "mailto:[email protected]" or "#contact" for contact widget.
social:
- icon: envelope
icon_pack: fas
link: 'mailto:[email protected]'
- icon: linkedin
icon_pack: fab
link: https://it.linkedin.com/in/francesco-riz-7a7610223
- icon: google-scholar
icon_pack: ai
link: https://scholar.google.com/citations?user=qsz_ov0AAAAJ&hl=it&oi=ao

# Link to a PDF of your resume/CV from the About widget.
# To enable, copy your resume/CV to `static/files/cv.pdf` and uncomment the lines below.
# - icon: cv
# icon_pack: ai
# link: files/cv.pdf

# Enter email to display Gravatar (if Gravatar enabled in Config)
# email: ''

# Organizational groups that you belong to (for People widget)
# Set this to `[]` or comment out if you are not using People widget.
user_groups:
- Alumni
---
Francesco is a Ph.D. graduate in Information and Communication Technology from the University of Trento, where he fearlessly tackled mobile robotics with nothing but MATLAB and a piece of paper—no need for the trendy ROS! His research explored observability and constructibility analysis of nonholonomic vehicles, showing that practical solutions can come from straightforward approaches. With a focus on perception-aware motion planning, he proves that sometimes the simplest methods can lead to interesting insights.
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