Home      Log In      Contacts      FAQs      INSTICC Portal

Special Sessions

Special sessions are very small and specialized events to be held during the conference as a set of oral and poster presentations that are highly specialized in some particular theme or consisting of the works of some particular international project. The goal of special sessions (minimum 4 papers; maximum 9) is to provide a focused discussion on innovative topics. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.


LICARSA 2023Special Session on Learning in Control and Robotic Systems Applications
Chair(s): Dario Calogero Guastella, Simone Palazzo, Ignacio Carlucho and Giuseppe Sutera

Special Session on Learning in Control and Robotic Systems Applications - LICARSA 2023

Paper Submission: September 20, 2023 (expired)
Authors Notification: September 29, 2023 (expired)
Camera Ready and Registration: October 9, 2023 (expired)


Dario Calogero Guastella
Dipartimento di Ingegneria Elettrica Eletronica e Informatica, University of Catania
Simone Palazzo
University of Catania - Department of Electrical, Electronic and Computer Engineering
Ignacio Carlucho
School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh
United Kingdom
Giuseppe Sutera
Dep. of Electrical Electronic and Computer Engineering, University of Catania

Learning paradigms have played a crucial role in robotics and control over the years, ranging from supervised to reinforcement learning. Over the last decade, this role has received a significant momentum thanks to the rapid progress in parallel computing, leading to the breakthrough of deep learning. Recent works report impressive results also in challenging real-world applications, from vision-based control to multi-agent systems. The aim of this special session is to gather such achievements in control and robotic systems applications in a wide spectrum of scenarios, from automation and industry to automotive and farming.