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Color changing object recognition and grabbing technology based on crystal butterfly algorithm and adaptive
Zuoxun Wang1, Chuanyu Cui1, Jinxue Sui1
1School of Information and Electronic Engineering, Shandong Technology and Business University, No. 191, Binhai Middle Road, Laishan District, Yantai 264005, China.
Iscience
|September 2, 2024
Summary
This study introduces a novel grasping technique using a crystal butterfly algorithm and adaptive imitation synthesis for improved object recognition and manipulation. The method enhances dynamic trajectory tracking and color recognition, enabling effective grasping in diverse scenarios.
Area of Science:
- Robotics and Computer Vision
- Artificial Intelligence
Background:
- Grasping tasks in varied color and multi-scene conditions are crucial for robotic applications.
- Existing methods for object recognition and grasping face limitations in speed and adaptability.
Purpose of the Study:
- To develop an advanced recognition and grasping technique.
- To enhance adaptability for multi-scene promotion of grasping technology.
Main Methods:
- A 'Butterfly Trajectory' dynamic node tracking method inspired by butterfly movements.
- Color Dynamic Recognition (CDR) technology for rapid multi-angle feature extraction (brightness, transparency, saturation).
- Adaptive Imitation Synthesis (AIS) for multi-scenario grasping technology promotion, improving upon traditional HOG and R-CNN methods.
Main Results:
- The Butterfly Trajectory method demonstrated effective dynamic trajectory tracking with route memory.
- CDR technology significantly improved feature extraction speed compared to traditional methods.
- AIS facilitated the successful multi-scenario promotion of grasping capabilities.
Conclusions:
- The proposed crystal butterfly algorithm and adaptive imitation synthesis technique effectively address challenges in grasping tasks.
- The study validates the proposed methods through simulation and physical testing, showing significant improvements in recognition and grasping capabilities.
