Titlebook: RoboCup 2003: Robot Soccer World Cup VII; Daniel Polani,Brett Browning,Kazuo Yoshida Conference proceedings 2004 Springer-Verlag Berlin He

DIGN

书目名称RoboCup 2003: Robot Soccer World Cup VII影响因子(影响力)




书目名称RoboCup 2003: Robot Soccer World Cup VII影响因子(影响力)学科排名




书目名称RoboCup 2003: Robot Soccer World Cup VII网络公开度




书目名称RoboCup 2003: Robot Soccer World Cup VII网络公开度学科排名




书目名称RoboCup 2003: Robot Soccer World Cup VII被引频次




书目名称RoboCup 2003: Robot Soccer World Cup VII被引频次学科排名




书目名称RoboCup 2003: Robot Soccer World Cup VII年度引用




书目名称RoboCup 2003: Robot Soccer World Cup VII年度引用学科排名




书目名称RoboCup 2003: Robot Soccer World Cup VII读者反馈




书目名称RoboCup 2003: Robot Soccer World Cup VII读者反馈学科排名

天空

Tinea-Capitis

Model and Behavior-Based Robotic Goalkeepersystem. Most robot parameters were designed based on simulations carried out with the Hybrid Automata Matlab/Simulink toolbox CheckMate. Results obtained with the actual goalkeeper are presented and discussed.

Conflagration

A Real-Time Auto-Adjusting Vision System for Robotic Soccerpings of color classes to find and classify points on the outlines of objects. These points are used to calculate size and position of the objects in the image. Experiments on Sony’s four-legged robot Aibo show that the method is able to recognize and distinguish objects under a wide range of different lighting conditions.

Alveolar-Bone

Consensus

躲债

chapel

RoboCup: Yesterday, Today, and Tomorrow Workshop of the Executive Committee in Blaubeuren, October 2 exact scientific goal, but as an audacious challenge to pursue. We aimed at creating a far away target for RoboCup researchers, as we were well aware that the development of fully autonomous soccer robots capable of competing against human world champion soccer players was a rather long term resear

antidote

Challenges in Robust Situation Recognition through Information Fusion for Mission Criticial Multi-agboCup task domains. This paper particularly focuses on robust recognition through information fusions issue among numbers of others issues that are equally important. The robust recognition through information fusion is selected because it is one of the most universal issues in AI and robotics, and

CLAM

On Role Allocation in RoboCupk in multi-robot task allocation, we formalize the problem of role allocation as an iterated form of ., which is a well-studied problem from operations research. From this perspective, we analyze the allocation mechanisms of a number of RoboCup teams, showing that most of them are greedy, and that m