Multiagent reinforcement learning for multi-robot systems is a challenging issue in both
robotics and artificial intelligence. With the ever increasing interests in theoretical …

Soccer robotics is an emerging field that combines artificial intelligence and mobile robotics
with the popular sport of soccer. In essence, it studies how mobile robots can be built and …

The learning of agents in a competitive space such as a game is a challenging task. The aim
of the proposed research is to improve the reinforcement learning techniques in a …

Evolutionary artificial potential field (EAPF) functions are utilized for mobile robot navigation
in a microrobot soccer (MiroSot) environment. In a micro-robot soccer system the robots are …

A wide variety of artificial intelligence (AI) and structure-activity relationship (SAR)
approaches have been applied to tackling the general problem of predicting rodent …

The robot soccer game has been proposed as a benchmark problem for the artificial
intelligence and robotic researches. Decision-making system is the most important part of …

Robot motion planning (RMP) develops a precise path between start and goal points for
mobile robots in an unknown environment. RMP is a complex task when it needs to be …

Most of navigation techniques with obstacle avoidance do not consider the robot orientation
at the target position. These techniques deal with the robot position only and are …

In this paper, we present an agent-based system for distributed risk assessment of breast
cancer development employing fuzzy and probabilistic computing. The proposed fuzzy multi …

In this paper, a multi-agent reinforcement learning method based on action prediction of
other agent is proposed. In a multi-agent system, action selection of the learning agent is …