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Titlebook: RoboCup-99: Robot Soccer World Cup III; Manuela Veloso,Enrico Pagello,Hiroaki Kitano Conference proceedings 2000 Springer-Verlag Berlin He

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41#
發(fā)表于 2025-3-28 17:48:56 | 只看該作者
Vision Based Behavior Strategy to Play Soccer with Legged Robotsust cope with “bouncing images” due to successive legs hitting ground. This paper presents the work achieved for our second participation. We point out the improvements of algorithms between the two participations, and those we plan to make for the next one.
42#
發(fā)表于 2025-3-28 18:54:18 | 只看該作者
A Segmentation System for Soccer Robot Based on Neural Networksported experimental results show that the technique is reliable and robust even in presence of changing environmental conditions. Extended experimentation has been carried on the framework of the Robot Soccer World Cup Initiative (RoboCup).
43#
發(fā)表于 2025-3-29 00:09:50 | 只看該作者
44#
發(fā)表于 2025-3-29 06:01:18 | 只看該作者
45#
發(fā)表于 2025-3-29 10:51:01 | 只看該作者
Overview of RoboCup-99strated that it provides a remarkable framework for advanced research in Robotics and Artificial Intelligence. The yearly RoboCup event has included a technical workshop and competitions in different leagues. This chapter presents a comprehensive overview of RoboCup-99 and the scientific and enginee
46#
發(fā)表于 2025-3-29 12:27:23 | 只看該作者
47#
發(fā)表于 2025-3-29 18:14:59 | 只看該作者
48#
發(fā)表于 2025-3-29 22:30:12 | 只看該作者
Middle Sized Soccer Robots: ARVANDle size robots. Two different types of robots are made, players and the goal keeper. A player robot consists of three main parts: mechanics (motion mechanism and kicker), hardware (image acquisition, processing unit and control unit) and software (image processing, wireless communication, motion con
49#
發(fā)表于 2025-3-30 02:05:12 | 只看該作者
50#
發(fā)表于 2025-3-30 04:32:34 | 只看該作者
Automated Assistants to Aid Humans in Understanding Team BehaviorsTools that can help humans analyze, evaluate, and understand team behaviors are becoming increasingly important as well. We have taken a step towards building such a tool by creating an automated analyst agent called ISAAC for post-hoc, off-line agent-team analysis. ISAAC’s novelty stems from a key
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