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Workshop on Enhancing Human-Robot Interaction via Extended Reality and 3D perception - XR4HRI 2022

14 - 16 July, 2022 - Lisbon, Portugal

In conjunction with the 19th International Conference on Informatics in Control, Automation and Robotics - ICINCO 2022


Saverio Farsoni
University of Ferrara
Brief Bio
Saverio Farsoni obtained the B.Sc. degree in Information Engineering (curriculum: Automation) at the University of Ferrara, Italy, discussing a thesis titled "Experiments of inertial navigation for mobile robots", He obtained the M.Sc. degree in Computer Science and Automation Engineering at the University of Ferrara, Italy, discussing a thesis titled "Tracking of the virtual probe of an ultrasound simulator with 3D volume visualization", In 2016 he obtained the PhD in Science of Engineering (curriculum Automatica) discussing a final thesis titled "Data-driven fault diagnosis and fault-tolerant control of wind turbines" From 2017 to 2019 he was the selected candidate for a Post-Doc position at the Department of Engineering, University of Ferrara, regional program ROBOT-A: Adaptive Robot for Industry 4.0. He worked in collaboration with industrial partners as a system integrator for advanced collaborative robotic work-cells. Since 2019 he is an Assistant Professor at the Department of Engineering, University of Ferrara where he holds the course of "Multivariate control techniques" for the M.Sc. degree in Computer Science and Automation Engineering. Since 2019 he is a member of the research team of the University of Ferrara for the Horizon 2020 European project called SARAS: Smart Autonomous Robotic Assistant Surgeon. Currently, his main research activities are focused on: Industrial and Surgical Robotics, Motion Planning, Human-Robot Interaction, Simulation, Augmented and Mixed Reality. In 2022 he was Guest Editor for Electronics (MDPI) managing the Special Issue titled "Advances on Perception and Mixed Reality for Human-Robot Interactive Applications".
Francesco Setti
University of Verona
Brief Bio
Francesco Setti is currently an Assistant Professor at the Department of Computer Science of the University of Verona working on the integration of logical and sociological methods and formalisms into computer vision and pattern recognition algorithms. Previously he was a Post-Doc Research Fellow at the Laboratory for Applied Ontology (LOA) of the Institute of Cognitive Science and Technologies (ISTC) of the Italian National Research Council (CNR) in Trento, working for the VisCoSo project, funded by the Autonomous Province of Trento through the Team 2011 funding program; earlier he was a Post-Doc Research Fellow, running the individual PAT-EU Cofund Marie Curie Action project ABILE at the Measurement Instrumentation and Robotics Group of the University of Trento. He has a strong background in Computer Vision, Pattern Recognition, Machine Learning and Mechatronics; he graduated in Mechatronics Engineering at the University of Trento and he took a PhD in Mechanical Measurement Science at the University of Padua. During his career, he spent 3 months at Instituto Superior Tecnico in Lisbon, and 1 year at Queen Mary University of London. He is co-author of more than 50 papers in international peer-reviewed journals and conferences. He has been in the Organizing Committee of CONTACT workshop @ECCV2014 and in the Program Committee of GROW workshop @CVPR2015. He is co-founder of two start-up companies: one working on robotics and mechatronics (Robosense S.r.l.) and one on high-tech instrumentations for sports (Libon S.r.l.). He a Mechatronics Engineer graduated at the University of Trento and I took my PhD in "Science, Technology and Measurements for Space" at the CISAS at the University of Padua. His background is in Computer Vision and Robotics; in particular I work on Pattern Recognition, Machine Learning and Knowledge Representation.


eXtended Reality (XR), supported by 3D perception and machine-vision, is fast becoming a bridge towards an effective and safe interaction between humans and robots (HRI). Several areas of robotics can benefit from the integration of XR into HRI systems, particularly in manufacturing, surgery, service robotics and, in general, where strict safety requirements arise. The integration of XR into Robotics can also make the cognitive workload decrease for the users while improving at the same time the usability of the system.
Challenging scenarios that can be enabled comprise the design of new interfaces for programming, debugging, interacting with robots and the creation of immersive 3D visualizations for simulating robotic work-cells, so to enhance the training of humans or even robots.


Topics of interest include, but are not limited to:
  • Virtual, Augmented, Mixed Reality
  • Human-Robot Interaction
  • Robotic Assistance
  • Simulation
  • Digital Twin
  • Collaborative Robotics
  • Object Segmentation, Registration
  • 3D Perception
  • Virtual Commissioning


Paper Submission: May 19, 2022 (expired)
Authors Notification: June 2, 2022
Camera Ready and Registration: June 10, 2022


Available soon.


Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.


After thorough reviewing by the workshop program committee, all accepted papers will be published in the workshop 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).


ICINCO Workshops - XR4HRI 2022