ROBOVIS 2021 : 2nd International Conference on Robotics, Computer Vision and Intelligent Systems

in Conferences   Posted on March 17, 2021 

Conference Information

Submission Deadline Tuesday 18 May 2021 Proceedings indexed by :
Conference Dates Oct 27, 2021 - Oct 28, 2021
Conference Address Online, Online
Conference & Submission Link
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Call for Papers

2nd International Conference on Robotics, Computer Vision and Intelligent Systems ROBOVIS


October 27 – 28, 2021 Online Streaming

Proceedings will be submitted for indexation by: SCOPUS, Google Scholar, DBLP, Semantic Scholar, Microsoft Academic, EI and Web of Science / Conference Proceedings Citation Index.


Regular Paper Submission: May 18, 2021
Authors Notification (regular papers): July 16, 2021
Final Regular Paper Submission and Registration: July 31, 2021

Position Paper Submission: June 25, 2021
Authors Notification (position papers): July 31, 2021
Final Regular Paper Submission and Registration: September 7, 2021

The purpose of ROBOVIS 2021, the International Conference on Robotics, Computer Vision and Intelligent Systems, is to bring together researchers, engineers and practitioners that are interested to share their research and experience on the thematic areas of this conference.
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.
Papers describing original work are invited in any of the areas listed below. Accepted papers, presented at the conference by one of the authors, will be published in the Proceedings of ROBOVIS with an ISBN, placed at the SCITEPRESS digital library and sent for indexation by Google Scholar, Scopus and several other indexers. Acceptance will be based on quality, relevance and originality. Both full research reports and work-in-progress reports are welcome. There will be both oral and poster sessions.
Special sessions, dedicated to case-studies and commercial presentations, as well as tutorials dedicated to technical/scientific topics are also envisaged: companies interested in presenting their products/methodologies or researchers interested in holding a tutorial, workshop or special session are invited to contact the conference secretariat or visit the conference website.

Conference Topics:
Area 1: Robotics
– Aerial Robotics
– Bio-Robotics
– Cognitive Robotics
– Field Robots
– Humanoid Robots
– Intelligent Robots
– Learning and Adaptive Systems
– Localization and Mapping
– Mobile Robots
– 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

Area 2: Computer Vision
– Face and Gesture Recognition
– Gait Analysis
– Image and Video Processing
– Image Segmentation and Reconstruction
– Motion and Tracking
– Pattern Recognition
– Robot Vision
– Scene Analysis and Understanding

Area 3: Intelligent Systems
– Deep Learning
– Intelligent Control
– Intelligent Sensors
– Intelligent Vehicles
– Internet of Things
– Knowledge-Based Systems
– Machine Learning
– Multi-Agent Systems
– Swarm Intelligence

Krzysztof Kozlowski, Poznan University of Technology, Poland

Péter Galambos, Óbuda University, Hungary
Erdal Kayacan, Aarhus University, Denmark


ROBOVIS Secretariat
Address: Avenida de S. Francisco Xavier, Lote 7 Cv. C
Tel: +351 265 520 185
Fax: +351 265 520 186
e-mail: [email protected]

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