ROBOCUP
2007
Springer
14 years 5 months ago
2007
Springer
This paper proposes a method to allocate multiple cameras to a better or the best positions. In RoboCup Small Size League(SSL), two or more cameras are used, and we have to decide ...
ROBOCUP
2007
Springer
14 years 5 months ago
2007
Springer
This article investigates the prerequisites for a global exploration strategy in an unknown environment on a virtual disaster site. Assume that a robot equipped with a laser range...
ROBOCUP
2007
Springer
14 years 5 months ago
2007
Springer
Decision making is an important issue in robot soccer, which has not been investigated deeply enough by the RoboCup research community. This paper proposes a probabilistic approach...
ROBOCUP
2007
Springer
14 years 5 months ago
2007
Springer
According to the expert literature on (human) soccer, e.g., the tactical behavior of a soccer team should differ significantly with respect to the tactics and strategy of the oppo...
ROBOCUP
2007
Springer
14 years 5 months ago
2007
Springer
ROBOCUP
2007
Springer
14 years 5 months ago
2007
Springer
In this paper, we propose a control system that changes the compliance based on the walking speed to stabilize biped walking on rough terrain. The proposed system does not use the ...
ROBOCUP
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. To achieve robust color perception under varying light conditions in indoor and outdoor environments, we propose a three-step method consisting of adaptive camera paramet...
ROBOCUP
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. The mean-shift algorithm is an efficient technique for tracking 2D blobs through an image. Although it is important to adapt the mean-shift kernel to handle changes in il...
ROBOCUP
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. Recent successful SLAM methods employ hybrid map representations combining the strengths of topological maps and occupancy grids. Such representations often facilitate mu...
ROBOCUP
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. In the present article a framework for the robust detection of mobile robots using nested cascades of boosted classifiers is proposed. The boosted classifiers are trained...