Synthesized cooperative strategies for intelligent multi-robots in a real-time distributed environment : a thesis presented in partial fulfillment of the requirements for the degree of Master of Science in Computer Science at Massey University, Albany, New Zealand

In the robot soccer domain, real-time response usually curtails the development of more complex Al-based game strategies, path-planning and team cooperation between intelligent agents. In light of this problem, distributing computationally intensive algorithms between several machines to control, coordinate and dynamically assign roles to a team of robots, and allowing them to communicate via a network gives rise to real-time cooperation in a multi-robotic team. This research presents a myriad of algorithms tested on a distributed system platform that allows for cooperating multi- agents in a dynamic environment. The test bed is an extension of a popular robot simulation system in the public domain developed at Carnegie Mellon University, known as TeamBots. A low-level real-time network game protocol using TCP/IP and UDP were incorporated to allow for a conglomeration of multi-agent to communicate and work cohesively as a team. Intelligent agents were defined to take on roles such as game coach agent, vision agent, and soccer player agents. Further, team cooperation is demonstrated by integrating a real-time fuzzy logic-based ball-passing algorithm and a fuzzy logic algorithm for path planning. Keywords Artificial Intelligence, Ball Passing, the coaching system, Collaborative, Distributed Multi-Agent, Fuzzy Logic, Role Assignmen

Motion Optimization of Humanoid Robot Soccer “Goalkeeper” Using Behavior Based Coordination

Accuracy and speed of movement is required for a goalkeeper robot in the Robocup soccer competition. Moreover, instability and robustness of goalkeeper robot is often a problem in itself that often arise especially if the robot is a humanoid robot. There are various methods on how to improve the performance of movement of humanoid robot have been actively studied. So now we propose how to optimize the movement of humanoid robot and research to this time is devoted to the movement of a humanoid robot goalkeeper by using behavior based coordination. In this paper, a stabilization algorithm is proposed using the balance condition of the robot, which is measured using accelerometer sensor during standing, walking, turning, getting up, etc. Then the information from the outside is obtained by using the other sensor that is webcam camera and also from this sensor the robot can decide and behave to respond the data information effectively. In order to generate the proper and fast reaction, so a behavior based algorithm is applied in finding the most effective movement when the robot responds some stimulus. The performance of the proposed algorithm is verified by walking, getting up and ball anticipating movement and this experiment is conducted on a 16-DOFs humanoid robot, called EEPIS Fußball Robot IO (EFuRIO) 2nd generation