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Workshop on Robotics, Computer Vision and Intelligent Systems - ROBOVIS 2022

24 - 26 October, 2022 - Valletta, Malta

In conjunction with the 14th International Joint Conference on Computational Intelligence - IJCCI 2022


Fabio Morbidi
Laboratoire MIS, University of Picardie Jules Verne
Brief Bio
Fabio Morbidi received the Ph.D. degree in Robotics and Automation from the University of Siena, Italy, in 2009. He was a visiting researcher at the University of California, Santa Barbara, USA, in 2008, and he held post-doctoral positions at Northwestern University, USA, University of Texas at Arlington, USA, and at Inria Grenoble Rhone-Alpes, France. Since 2014, he has been an Associate Professor of Robotics with the University of Picardie Jules Verne, France. He is a member of the Robotic Perception group of the MIS (Modeling, Information and Systems) laboratory, and the author or co-author of over 70 articles in the field of Robotics and Automatic Control. He has been a Senior Member of IEEE since April 2019. His main research interests include multi-robot and network systems, and robot vision with applications to autonomous vehicle localization and navigation.
Juha Röning
Biomimetics and Intelligent Systems, University of Oulu
Brief Bio
Juha Röning is the head of the Biomimetics and Intelligent Systems Group (BISG) research unit and a professor in the Faculty of Information Technology and Electrical Engineering at the University of Oulu, Finland. He obtained a PhD and a licentiate, with honors, in technology, and an MS, with honors, in engineering, all from the University of Oulu. He holds two patents and has published more than 300 papers in the areas of computer vision, robotics, intelligent signal analysis, and software security. He has more than 30 years of experience in mobile robotics. He was a founding member to FP7 NoE European Robotics Research Network EURON, FP7 euRathlon, the SPARC robotics PPP, and is a member of the board of directors of euRobotics aisbl. He is a Fellow of SPIE, a member of IEEE and the International Society for Computers and Their Applications. His research interests include data mining, intelligent systems, mobile robots, and software security.


The Role of Actions and Learning in Robotic Vision

Guido de Croon
Delft University of Technology

Brief Bio
Received his M.Sc. and Ph.D. in the field of Artificial Intelligence (AI) at Maastricht University, the Netherlands. His research interest lies with computationally efficient, bio-inspired algorithms for robot autonomy, with an emphasis on computer vision. Since 2008 he has worked on algorithms for achieving autonomous flight with small and light-weight flying robots, such as the DelFly flapping wing MAV. In 2011-2012, he was a research fellow in the Advanced Concepts Team of the European Space Agency, where he studied topics such as optical-flow-based control algorithms for extraterrestrial landing scenarios. After his return at TU Delft, his work has included fully autonomous flight of a 20-gram DelFly, a new theory on active distance perception with optical flow, and a swarm of tiny drones able to explore unknown environments. Currently, he is Full Professor at TU Delft and scientific lead of the Micro Air Vehicle lab (MAVLab) of Delft University of Technology.

Robots are embodied entities. As such, their visual perception can be designed to be intimately intertwined with their ability to move and act. In my presentation, I will explain a fundamental property of optic flow control, which has important implications also for visual servoing and monocular SLAM. Specifically, I will discuss how active control can allow a robot to disentangle velocity and distance when using the optic flow from a single camera. Subsequently, I will discuss how self-supervised learning processes can further enhance the capabilities of robots that initially possess optic flow control capabilities


Robotics is a field that is closely connected to Computer Vision and Intelligent Systems. Research and development of robots require technologies originating from the other two areas; the research work in Computer Vision has often been driven by needs in Robotics; Intelligent Systems models and software have often been developed aiming at applications in the areas of physical agents, i.e. robots, or in areas  related to scene understanding, video and image processing, and many other aspects of computer vision. There is a need for a venue where these three research communities, often isolated, meet and discuss innovation possibilities driven by the intersection of these highly synergetic fields.


Topics of interest include, but are not limited to:
  • Aerial Robotics
  • Face and Gesture Recognition
  • Deep Learning
  • Intelligent Control
  • Gait Analysis
  • Bio-Robotics
  • Cognitive Robotics
  • Image and Video Processing
  • Intelligent Sensors
  • Intelligent Vehicles
  • Image Segmentation and Reconstruction
  • Field Robots
  • Humanoid Robots
  • Motion and Tracking
  • Internet of Things
  • Knowledge-Based Systems
  • Pattern Recognition
  • Intelligent Robots
  • Learning and Adaptive Systems
  • Robot Vision
  • Machine Learning
  • Multi-Agent Systems
  • Scene Analysis and Understanding
  • Localization and Mapping
  • Mobile Robots
  • Swarm Intelligence
  • Multi-agent Systems and Cooperative Robotics
  • Planning and Simulation
  • Robot Control
  • Robot Sensing Systems
  • Robot Vision
  • Search and Rescue Robots
  • Service Robots
  • Vehicular Robotics
  • Visual-Based Navigation


Paper Submission: August 22, 2022 (expired)
Authors Notification: September 9, 2022 (expired)
Camera Ready and Registration: September 19, 2022 (expired)


Eric Baumgartner, Academics, Milwaukee School of Engineering, United States
Marco Buzzelli, Dipartimento di Informatica, Sistemistica e Comunicazione, University of Milano - Bicocca, Italy
Giuseppe Carbone, University of Calabria, Italy
Jamshed Iqbal, 18, Balmoral Avenue,, University of Hull, United Kingdom
Norbert Kruger, University of Southern Denmark, Denmark
Fernando S. Osorio, Computer Systems Department - ICMC, University of São Paulo - USP, Brazil
Lucas Paletta, Institute DIGITAL, Joanneum Research Forschungsgesellschaft mbH, Austria
Amir A. Shafie, Mechatronic Engineering, International Islamic University Malaysia, Malaysia
Rashid Shariff, Universiti Putra Malaysia, Malaysia
Changming Sun, Data61, Commonwealth Scientific and Industrial Research Organization, Australia

(list not yet complete)


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).


IJCCI Workshops - ROBOVIS 2022