Year 2026-2029

Supported by the Guangdong Provincial Pearl River Talents Program (No. 2025QN12G118).

This project aims to advance intelligent logistics and fulfillment systems by integrating artificial intelligence, robotics, and data-driven optimization. Focusing on automated warehousing, robotic order fulfillment, and intelligent material handling, the project investigates AI-driven decision-making approaches for task allocation, multi-robot coordination, operational scheduling, and real-time resource optimization. By leveraging machine learning, reinforcement learning, and advanced optimization techniques, it seeks to enhance system autonomy, adaptability, and operational efficiency under dynamic and uncertain environments. The expected outcomes include improved logistics productivity, reduced operational costs, enhanced human-robot collaboration, and scalable intelligent solutions for next-generation logistics and fulfillment operations.