4 Result(s)
within
Tomomi Kawarabayashi
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Chapter and Conference Paper
Adapting Recognition of Shootable Situations by Learning from Experience and Observation in a RoboCup Simulated Soccer Game
In this paper we describe adapting recognition of shootable situations for an agent in a RoboCup soccer simulation game. An agent needs to adapt its recognition of shootable situations to their opponents in a ...
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Chapter and Conference Paper
Real-time Adaptive Learning from Observation for RoboCup Soccer Agents
In this paper, a real-time adaptive learning system from observation by teammates’ behaviors and results from RoboCup soccer agents is proposed. The agent is required to adapt to its opponents in real time in ...
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Chapter and Conference Paper
Linked99
Figure 1 describes the overview of our team’s system. The concept of our team is to employ simple, inexpensive robots and to control them by high-speed and actual vision feedback. The special hardware for colo...
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Chapter and Conference Paper
Zeng99: RoboCup simulation team with Hierarchical Fuzzy Intelligent Control and Cooperative Development
This paper discusses the design of the team Zeng99. The goal of team Zeng99 is to show a performance of Hierarchical Fuzzy Intelligent Control system in the field of multi agent problems. It worked well at Rob...
