Color changing object recognition and grabbing technology based on crystal butterfly algorithm and adaptive imitation

Implementing grasping tasks under color and multi scene promotion conditions is a key technology. This study proposes a recognition and grasping technique based on the crystal butterfly algorithm and adaptive imitation synthesis. Firstly, inspired by the movement trajectory of butterflies, a dynamic node tracking method called "Butterfly Trajectory" was designed. It can complete dynamic trajectory tracking under geometric constraints and achieve route memory. The second color dynamic recognition technology (CDR) has been proposed. It can quickly extract brightness, transparency, and color saturation obtained from multiple angles. Improve the feature extraction speed of Region CNN (R-CNN) instead of traditional methods (HOG). In addition, an adaptive imitation synthesis technique (AISP) is used to achieve the multi scenario promotion of grasping technology. Finally, simulation and physical testing were provided to verify the effectiveness of the design scheme in this article.