The ultimate goal of Computer Vision has been to create an artificial vision system that could allow machines to see and understands the environment, imitating the human vision. In order to a robot, or a multi-agent robotic system, achieve autonomous intelligent behaviours, it has to be able to interact with the environment. The use of artificial vision systems as the main sensorial element is very common nowadays. Despite all the advances that have been made in Computer Vision for Multi-agent systems, several questions are still open.
This thematic session will provide an opportunity to bring together researchers with interests in computer and robot vision applied to multi-agent systems. This special session aims to receive contributions relevant to the use of vision and related sensors in robotics, as well as all issues related to robot perception.
Topics of interest include (but are not restricted to):
- distributed sensing
- multimodal sensor fusion
- real-time and efficient solutions for multi-agent robotics
- localization and mapping
- vision based control
- object detection, segmentation and categorization
- semantic scene understanding and categorization
- perceptual strategies for human robot interaction
- robustness and generalization of algorithms to conditions and environments
- sensor calibration
- Antonio J. R. Neves, University of Aveiro (Portugal)
- Angel D. Sappa, Escuela Superior Politécnica del Litoral (Ecuador), Computer Vision Center (Spain)