Effective team strategies and joint decision-making processes are fundamental in modern
robotic applications, where multiple units have to cooperate to achieve a common goal. The …

Several Games have been used as test cases for new AI developments in the last years, eg
the games of the Atari Learning Environment, Go, and also StarCraft. As many single player …

Many tasks have demand on precise predictions of agents or moving objects. Previous
prediction methods usually only focus on the kinematic model of moving objects or the …

The Small Size League (SSL) is a robot soccer league of the Robot World Cup (RoboCup).
A recent trend in hardware design in SSL involves multiple angles kicking mechanisms …

Team oriented behavior in games is a complex interplay of individual skills, tactics, and
strategies which is largely unpredictable (Clements and Polani 2017). In real-life sports, the …

In this thesis, an active vision approach is trained using reinforcement learning to control the
head of a humanoid robot in the RoboCup Humanoid League domain. To train the approach …

This paper mainly describes the work of the ZJUNlict team in the past year in both hardware
and software. In the hardware part, new control and communication architectures were …

This paper mainly describes the work of the ZJUNlict team in the past three years, including
hardware and software. In the hardware part, we did some exploratory work and redesigned …

In this paper, we considered the use of reinforcement learning methods to develop a
strategy for playing robot football. The problem of scoring a goal from the penalty line was …