Study of Vision-guided Mobile Robot Based on Sequential Particle Filtering Algorithm

Aim at the problem of work condition monitoring in high speed NC processing, a new method is proposed based on vision-guided mobile robot. This paper puts forward a sequential particle filtering algorithm with Markov random field for NC processing image sequence. It presents the estimation method of processing motion parameters to obtain a single NC machining working position information. Moreover, the best patrol path plan is obtained by optimization immunity algorithm to monitor tool and workpiece effectively. The experiment shows that this method can achieve accurate and real time monitoring in the whole Unmanned NC workshop.