This paper presents a new algorithm of path planning for mobile robots, which utilises the characteristics of the obstacle border and fuzzy logical reasoning. The environment topology or working space is described by the time-variable grid method that can be further described by the moving obstacles and the variation of path safety. Based on the algorithm, a new path planning approach for mobile robots in an unknown environment has been developed. The path planning approach can let a mobile robot find a safe path from the current position to the goal based on a sensor system. The two types of machine learning: advancing learning and exploitation learning or trial learning are explored, and both are applied to the learning of mobile robot path planning algorithm. Comparison with A* path planning approach and various simulation results are given to demonstrate the efficiency of the algorithm. This path planning approach can also be applied to computer games.

This paper introduce the necessity of the construction of offshore wind power projects, analysis of the impact on the marine transport of offshore wind power project after completion, and then use the fuzzy comprehensive evaluation method to carry out a comprehensive assessment of offshore wind power projects, by identifying risk assessment index system, establish model for risk assessment, the final task is use the model to evaluate the navigation safety of an offshore wind power project.

This paper presents a new intelligent communication strategy for multi robots’ cooperation and competition, which combines the explicit with implicit communications via using the prediction of robotic behavior and a fuzzy communication approach. The multi robotic system employs a host computer and a team of mobile robots that understand the semantics and grammar as well as observe the codes of conduct. Based on the intelligent communication strategy, two robots playing a zero-sum game of hide-and-seek and two cooperative robots competing against a third robot have been explored. The results of simulation show that the new intelligent communication strategy and the algorithms for cooperation and competition used in the multi-robot system work successfully

This paper presents a practical approach to the design and delivery of courseware for e-learning. The approach is based on the premise that courseware for e-learning should be much more than just a set of online learning materials. In order to identify what e-learning courseware should include and how it should be designed, we consider the task of designing and delivering for e-learning from a broad perspective, taking into account the nature of the learning activity, learner learning styles, and the milieu and media within which the learning community is formed and learning activities take place. A framework for design and delivery for elearning was developed with an aim to include relevant constituents which are required for learning outcomes to be achieved. The framework covers the entire lifecycle of a taught module from planning to design to delivery, and includes guidelines for: (1) e-learning design process, (2) e-learning design product, and (3) elearning delivery. It can also be used to evaluate existing courseware for improvement and/or re-design purpose.

Communication plays an important role in a multi-robot system. In a large system with many robots, it is difficult for all robots to exchange information at a time because of their limited communication capacities. On the other hand, sometimes there is such a situation where no explicit communication is allowed between robots. Therefore, efficient and reliable communication together with non-explicit communication is crucial for a multi-robot system. This paper presents a hybrid communication approach for a multi-robot system, which combines the explicit with implicit communications via using the prediction of robotic behaviour and a fuzzy communication approach. The hybrid communication approach contains a robot performance rule base, a fuzzy inference engine, and a semantics and grammar for communicating. Based on the hybrid communication strategy, the avoidance of collision with multiple robots in working area and multiple robots transporting a common object have been explored. The results of simulation show that the multi-robot system can complete a cooperative task successfully.