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Research in the area of cooperative multi-agent robot systems has received wide attention among researchers in recent years. The main concern is to find the effective coordination among autonomous agents to perform the task in order to achieve a high quality of overall performance. Therefore, this paper reviewed various selected literatures primarily from recent conference proceedings and journals related to cooperation and coordination of multi-agent robot systems (MARS). The problems, issues, and directions of MARS research have been investigated in the literature reviews. Three main elements of MARS which are the type of agents, control architectures, and communications were discussed thoroughly in the beginning of this paper. A series of problems together with the issues were analyzed and reviewed, which included centralized and decentralized control, consensus, containment, formation, task allocation, intelligences, optimization and communications of multi-agent robots. Since the research in the field of multi-agent robot research is expanding, some issues and future challenges in MARS are recalled, discussed and clarified with future directions. Finally, the paper is concluded with some recommendations with respect to multi-agent systems.

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Autonomous mobile robot is a mobile robot that can move without human supervision. The use of autonomous mobile robots has increased in various fields such as in the industrial, agricultural, and military sectors. This paper presents the development of a mobile robot that uses Fuzzy Logic approach to control a robot's movement in an area cluttered with static obstacles. In the experiment presented herewith, the controller was programmed with 256 Fuzzy Logic rules and the input to the system is from an E-puck robot that is equipped with infrared sensors. Webot Pro and Matlab are the software used in the development and simulation of the robot. The mobile robot was designed to move and avoid static obstacles. The performance of the mobile robot was evaluated from the way it avoids the obstacles, and the time taken when it move from a starting point to an end point. The results showed that the robot could avoid the obstacle successfully in various types of static environments. This research also indicated that WEBOT and Mathlab are suitable tools that could be use to develop and simulate mobile robot navigation system.