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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.

SPECIAL SESSIONS LIST

LICARSA 2023, Special 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)

Co-chairs

	Dario Calogero Guastella Dipartimento di Ingegneria Elettrica Eletronica e Informatica, University of Catania Italy e-mail

	Simone Palazzo University of Catania - Department of Electrical, Electronic and Computer Engineering Italy e-mail

	Ignacio Carlucho School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh United Kingdom e-mail

	Giuseppe Sutera Dep. of Electrical Electronic and Computer Engineering, University of Catania Italy e-mail

Scope

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.

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