Design and Realization of Six-Degree-of-Freedom Intelligent Sorting Robot System Based on Dynamic Adsorption and Multimodal Sensing

Aiming at the problems of low sorting efficiency and high labor cost in the courier industry, this paper designs and implements a six-degree-of-freedom pneumatic grasping intelligent sorting robot based on SLAM (simultaneous localization and map building) and AI visual recognition. The robot integrates STM32 microcontroller, pneumatic adsorption system, multi-sensor fusion navigation and deep learning algorithms to realize dynamic path planning, high-precision barcode recognition, adaptive grasping and other functions. By adopting the Mecanum wheel omnidirectional chassis, semi-adaptive suspension mechanism and fuzzy PID control strategy, the motion stability and operation accuracy of the robot in the complex environment are significantly improved. The experimental results show that the robot's sorting efficiency reaches 1200 pieces/hour, the barcode recognition success rate is 98.7<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">%</sup>, and the response time of path planning is less than 0.5 seconds. This study provides innovative solutions for logistics automation with good application value.