Aims and scope
Among the variety of sensors available today, vision systems stand out because they provide very rich information at low cost. One of the main reasons for integrating vision in the control loop was the interest for increased flexibility of robotic systems. However, versatility of vision systems comes at the cost of higher data processing complexity. Visual control or visual servoing has been one of the major research issues in robotics for more than four decades. Although control theory and computer vision are both mature areas of research, important advances that bring new challenges are happening nowadays such as the advent of RGB-D cameras, the use of omnidirectional vision, or the development of robust control techniques.
The interest in this subject lies in the many potential robotic applications in industrial as well as in domestic settings that involve visual control of mobile robots. In this context, autonomous navigation and integration of vision in the control loop is still an open and ambitious research area. Thus, the purpose of this workshop is to bring together researchers with common interests in computer vision and the control of robots, and discuss topics related to the challenging problems of visual control of mobile robots.
Call for papers
20 June, 2014: Paper submissions
15 July, 2014: Paper submissions
31 July, 2014: Acceptance notification
15 August, 2014: Camera ready
18 September, 2014: Workshop date
Instructions for Authors
Submissions should be in PDF format using the IROS template. Papers should be 4-8 pages in length, optionally accompanied by a video. All submissions will be reviewed for relevance to the topic of the workshop as well as scientific merit. Submissions should be emailed to email@example.com, firstname.lastname@example.org
After the workshop a special issue in a journal will be pursued.
Topics of interest include:
- Autonomous navigation and visual servoing techniques for mobile robots.
- Visual perception for visual control, visual sensors and integration of image information in the control loop.
- Visual control with constraints: nonholonomic constraints, motion in formation, distributed visual control, obstacle avoidance, etc.
- New trends in visual control, innovative solutions or proposals in the framework of computer vision and control theory.
IRCCYN-CNRS, Ecole Centrale de Nantes, France
Queensland University of Technology, QLD, 4000, Australia
ProgramSeptember 18, 2014
Morning session from 8:30 to 12:00
(... Presentations to be defined ...)
Program committeeNicolas Andreff - Université de Franche-Comté, France
Helder Araujo - ISR, University of Coimbra, Portugal
Antonis Argyros - FORTH, Heraklion, Greece
Hector M. Becerra - CIMAT, Guanajuato, Mexico
Enric Cervera - Universitat Jaume-I, Spain
François Chaumette - INRIA Rennes - IRISA, France
Andrea Cherubini - LIRMM, University of Montpellier, France
Peter Corke - Queensland University of Technology, Australia
Francisco Escolano - Universidad de Alicante, Spain
Nicholas R. Gans - University of Texas at Dallas, USA
Andrea Gasparri - Università degli Studi Roma Tre, Roma, Italy
Jose J. Guerrero - Universidad de Zaragoza, Spain
Koichi Hashimoto - Tohoku University, Sendai, Japan
Seth Hutchinson - University of Illinois at Urbana-Champaign, USA
Nicolas Mansard - LAAS/CNRS, France
Philippe Martinet - Ecole Centrale de Nantes, France
Roberto Naldi - Università di Bologna, Italy
Cedric Pradalier - GeorgiaTech Lorraine, France
Patrick Rives - INRIA Sophia Antipolis, France
Carlos Sagues - Universidad de Zaragoza, Spain
Davide Scaramuzza - University of Zurich, Switzerland
Omar Tahri - LE2I, University of Burgundy, France
Dimitris P. Tsakiris - FORTH, Heraklion, Greece
Andrew Vardy - Memorial University of Newfoundland, Canada
Xenophon Zabulis - FORTH, Heraklion, Greece
IFMA, Clermont Université
Institut Pascal, France
Instituto de Investigación en Ingeniería de Aragón (I3A)
Universidad de Zaragoza, Spain