In this paper a minimalist approach to establish obstacle avoidance and course stabilization behavior of an autonomous robot in a region evaluating 2D virtual world is proposed. The robot uses ultrasonic sensor to evade the hindrances and with distance measurements of barriers predict itself the shortest path to travel on through the destination and updating the virtual environment in database. The robot will be communicated with full duplex communication using ZigBee technology with computer interface. The environment around the rover will be visualized in GUI itself. Even robot can be made navigated searching for maximum light intensity in environment. The proposal is intense to aid the defense system and space exploration. It brings sophisticated method of practice by learning through virtual world of environment which can be enhanced even to 3D with technologies available.

Intelligent procedure expert system was developed to select appropriate GTAW procedure in this paper. First, the function design and implementation methods of the welding procedure expert system were introduced. The expert system can present the welding procedure card, multimedia display of welding process, and output function to makes the data sharing more convenient. Then, the database design of the welding procedure expert system based on C/S mode was presented where the expert knowledge was stored. At last, the neural network model was established to realize procedure selection based on the neural network learning ability and the welding case from the database. With the BPNN model, the welding parameters can be obtained based on the input welding conditions.

This paper proposes a combined local best particle swarm optimization algorithm (CLBPSO) which combined with local optimum particle information. And it gives three ways of combination local information. Experimental results indicate that the CLBPSO algorithm improves the search performance on the benchmark functions significantly. On the basis of experimental results, we will also compare these three methods with each other to find the best one.