Global path planning is quoted in this paper. The stoical and global environment has been given to us, which is abstracted with grid method before we build the workspace model of the robot. With the adoption of the ant colony algorithm, the robot tries to find a path which is optimal or optimal-approximate path from the starting point to the destination. The robot with the built-in infrared sensors navigates autonomously to avoid collision the optimal path which has been built, and moves to the object. Based on the MATLAB platform, the simulation results indicate that the algorithm is rapid, simple, efficient and high-performance. Majority of traditional algorithms of the path planning have disadvantages, for instance, the method of artificial potential field is falling into the problem of local minimum value easily. ACO avoids these drawbacks, therefore the convergence period can be extended, and optimal path can be planned rapidly.

Various combination optimization algorithms have been designed to solve the problem of robot path planning, but every algorithm has some limitation. The artificial potential field method has superiorities in positive feedback, flexibility and collaboration, which convert it into adapt to the trend of path planning algorithms in the intelligent and bionic direction. Artificial potential field method is advanced in the environment of static grid in this paper. Then the feasibility and practicability of the algorithm are backed by a simulation experiment.

From the analysis of college physical education challenging, based on the design theroy of the video of feedback system and the analysis of the system application example, this paper gives the complete functional framework of the general video of feedback system considering the different needs of different users. In comparison with traditional sports education pattern, the video feedback system can provide students better technical guidance, explore the students’s activeness for self-study and practice, and is better for building team spirit among students to learn each other.

The article proposed a new method for implementing linear phase FIR filter based on FPGA. For the key to implementing the FIR filter on FPGA—multiply-add operation, a parallel distributed algorithm was presented, which is based on LUT. The designed file was described with VHDL and realized on Altera’s field programmable gate array (FPGA), giving the design method. The experimental results indicated that the system can run stably at 120MHz or more, which can meet the requirements of signal processing for real-time.

In order to simplify previous camera calibration method, this paper put forward an easy camera calibration method based on plane grid points on the foundation of Heikkila plane model calibration method. Intrinsic and extrinsic parameters of the camera are calibrated with MATLAB, then the rotation matrix and the translation vector are calculated. The experiment results show this method is not only simple in practice, but also can meet the needs of computer vision systems.