Tea-Picking Robot Based on Improved RBF Neural Network: Dead Zone Compensation Control Technology
Abstract:The dead zone compensation technology for tea-picking robotic arms based on the m-RBF neural network achieves high-precision tracking through optimized clustering and adaptive control, with an experimental score of 95.3, far exceeding traditional methods, thus promoting the automation of premium tea picking. 1. Technical Background: Core Challenges of Tea-Picking Automation Tea, as an important economic … Read more