| Intelligent robot is one of the most popular research topic, is no longer exist only in science fiction animation or image. In recent years, the robot emerged in various platforms frequently. Such as the Roomba we used in house, the mechanical arm required for mass production, the military drone and the service robot which imitated human intelligence completely. Intelligent robot becomes more and more important in our dairy life. The obstacle avoidance algorithm in the maze, remote control and path planning algorithm of intelligent robot has become an important research content in the scientific community.The research and verification of this dissertation is mainly based on Pioneer3-DX robot The first is familiar with the operation and use of Pioneer3-DX mobile robot, being master the advanced technique of C++programming. Then is studied the other maze of obstacle avoidance and path planning theory. Proposed distorting binary tree robot obstacle avoidance algorithm in the maze base on binary tree conflict decomposition algorithm. Put forward the superiority of "barrier free" BUG algorithm based on BUG algorithm and "parallel" BUG algorithm. Finally, considering the Android mobile terminal technology is hot this year, developed a remote control based Socket connection and video surveillance system.As an important field in robot research, obstacle avoidance in the maze and path planning of mobile robot become more and more popular. In the obstacle avoidance at the maze, this paper analyzes the existing algorithm of obstacle avoidance of intelligent robot, the binary tree conflict decomposition algorithm in computer network deformation applied to intelligent robot obstacle avoidance in the maze, and put forward the distorting binary tree robot obstacle avoidance algorithm A/B which has high pass rate. Through the simulation platform of Pioneer3-DX robot with maze path contrast can find out the proposed algorithm has superiority in path redundancy and pass rate. In terms of path planning, this paper combined with the existing intelligent robot path planning algorithm, analyzed the classical BUG theory and the latest "parallel" BUG theory, put forward the "barrier free" BUG algorithm, and simulated the theory. By comparing the experimental results we can see that, this "barrier free" BUG algorithm in complex environment of path redundancy and energy consumption have very big superiority. In addition, with the popularity technology Android, this paper use the Android mobile phone and Pioneer3-DX robot, developed software which is controlling in the Android mobile phone terminal and pioneer robot camera to obtain real-time monitoring screen. Through the test, the software can control the robot effectively perform some bask movements and the above algorithm, real-time images and obtain vehicle notebook camera. Implementation of remote control and monitoring of Pioneer3-DX robot in the Android mobile phone. |
