SLAM turns 35
In ottemperanza ai requisiti previsti dalla procedura valutativa ai fini della chiamata a Professore di I Fascia ai sensi dell’art. 24, commi 5 e 6 L. 240/2010 per il Settore Concorsuale 09/H1 – Settore Scientifico Disciplinare ING-INF/05 presso il Dipartimento di Ingegneria informatica, automatica e gestionale Antonio Ruberti, codice 2023POA010 con on D.R. n. 3314/2023 del 05.12.2023, venerdì 15 novembre 2023 alle ore 14:00 Giorgio Grisetti, a seguito dell’esito positivo ottenuto nella procedura, terrà presso questo dipartimento un seminario sulle attività di ricerca svolte ed in corso di svolgimento, in modalità mista.
Seminario Grisetti
Friday, December 15 · 2:00 – 3:00pm
Time zone: Europe/Rome
Via Ariosto 25, Aula B2
Google Meet joining info
Video call link: https://meet.google.com/uzy-yymw-woq
Or dial: (US) +1 954-637-3742 PIN: 951 993 563#
Titolo: SLAM turns 35
Abstract: SLAM stands for Simultaneous Localization and Mapping, and is the problem of estimating both the position of a mobile robot in the environment while building an internal map. Initially regarded as a hard problem, nowadays it has become a consolidated technology that works in operating conditions that are increasingly more complex. The fascinating story of SLAM spans over several fields of research, and in this talk, we will look at how the rising and falling research trends have affected the construction of the system, and we will place our contribution into context.
Short Bio: Giorgio Grisetti earned his PhD in 2006 from this department. He worked as a Post-Doc in the lab of Wolfram Burgard until 2010 when he returned as a tenured researcher in this department. In 2019, he became an associate professor, and in 2023, he won the call as a full professor in this department. He is the author of more than 100 papers addressing the topics of robot perception and mobile robotics in general. He and his group are authors of several open-source contributions in the domains of filtering, factor-graph optimization, calibration, and SLAM, which are now integrated as core components in high-level robotic software packages.