In the team described in this paper we realize a direct approach to soccer agents for the simulation league of the RoboCup '98-tournament. Its backbone is formed by a detailed world model. Based on information which is reconstructed on the world model level, the rule-based decision levels chose a relevant action. The architecture for the goalie is diierent from the regular players, introducing ...

This paper describes the main features of the UvA Trilearn soccer simulation team, which participated for the first time at the RoboCup-2001 competition. The main concepts of the previous teams will be addressed, followed by the improvements introduced in UvA Trilearn 2003. These include an extension of the intercept skill, improved passing behavior and especially the usage of coordination grap...

It is proposed that vocabularies for representing complex systems with interacting agents have a natural lattice hierarchical structure. We investigate this for the example of simulated robot soccer, using data taken from the RoboCup simulation competition. Lattice hierarchies provide symbolic representations for reasoning about systems at appropriate levels. We note the difference between rela...

It is proposed that vocabularies for representing complex systems with interacting agents have a natural lattice hierarchical structure. We investigate this for the example of simulated robot soccer, using data taken from the RoboCup simulation competition. Lattice hierarchies provide symbolic representations for reasoning about systems at appropriate levels. We note the difference between rela...

In this paper we decribe the main features and new ideas incorporated in NeverMore 3D soccer simulation team, which will participate in RoboCup 2011 competition in Istanbul, Turkey. In the design of NeverMore agent, we layered the agent into two levels hierarchically. We proposed a new concept ‘KeyFrame’ in behavior generation. An HTNbased planner of our agent was also implemented as the strate...

This paper presents the architecture and key components of a simulated humanoid robot soccer team, UT Austin Villa, which was designed to compete in the RoboCup 3D simulation competition. These key components include (1) an omnidirectional walk engine and associated walk parameter optimization framework, (2) an inverse kinematics based kicking architecture, and (3) a dynamic role assignment and...

We present half field offense, a novel subtask of RoboCup simulated soccer, and pose it as a problem for reinforcement learning. In this task, an offense team attempts to outplay a defense team in order to shoot goals. Half field offense extends keepaway [11], a simpler subtask of RoboCup soccer in which one team must try to keep possession of the ball within a small rectangular region, and awa...

Abstract— In this paper, a simple Fourier series based algorithm has been used to achieve stable locomotion in an NAO biped robot, with 22 degrees of freedom that implemented in a virtual physics-based simulation environment of Robocup soccer simulation environment. The algorithm uses a Truncated Fourier Series (TFS) to generate control signal for the biped robot. To find the best angular traje...

This work is an evaluation of Linear QuasiAnticipation in real time domains. The evaluation is performed with experiments in two types of problem domains: pathfinding and Robocup soccer simulation. The experiments gave us valuable insights and made it possible for us to identify key issues concerning linear anticipation in dynamic and real-time domains. These key issues are presented in the rep...