Authors:
Udo Frese
1
and
Tim Laue
2
Affiliations:
1
Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI), Germany
;
2
SFB/TR 8 Spatial Cognition, Faculty 3 - Mathematics and Computer Science, Universität Bremen, Germany
Keyword(s):
Vision, Recognition, Image Processing, State Estimation, Sensor Fusion, Robot Soccer, Sport Robotics.
Related
Ontology
Subjects/Areas/Topics:
Informatics in Control, Automation and Robotics
;
Robotics and Automation
;
Vision, Recognition and Reconstruction
Abstract:
We believe it is possible to create the visual subsystem needed for the RoboCup 2050 challenge – a soccer match between humans and robots – within the next decade. In this position paper, we argue, that the basic techniques are available, but the main challenge will be to achieve the necessary robustness. We propose to address this challenge through the use of probabilistically modeled context, so for instance a visually indistinct circle is accepted as the ball, if it fits well with the ball’s motion model and vice versa.
Our vision is accompanied by a sequence of (partially already conducted) experiments for its verification. In these experiments, a human soccer player carries a helmet with a camera and an inertial sensor and the vision system has to extract all information from that data, a humanoid robot would need to take the human’s place.