Max Robotics — Global Service Robot Directory + US Certification

About

Yangjun Sun is a leading researcher in logistics automation, specializing in robotic mobile fulfillment systems (RMFS) and intelligent path planning. Their work addresses critical bottlenecks in warehouse robotics, particularly the challenge of scaling robot fleets without performance degradation. Sun’s most influential contribution is the **A* guiding DQN algorithm** for automated guided vehicle pathfinding, published in 2023 and already garnering 60 citations—a testament to its practical impact on e-commerce and distribution centers. This hybrid approach combines classical A* search with deep reinforcement learning to dramatically reduce path conflicts and travel time. Sun further advanced the field with an **autonomous vehicle interference-free scheduling method** for bidirectional paths (35 citations), which systematically eliminates collision risks in dense robot environments. Their latest breakthrough, *Breaking the Limit on the Number of Robots Through Conflict-Free Scheduling* (2024), directly tackles the scalability ceiling that has long constrained RMFS deployment, proposing a novel scheduling framework that enables efficient operation with far more robots than previously possible. By addressing both pathfinding and scheduling challenges, Sun’s research provides foundational solutions for next-generation automated warehouses, enabling faster, safer, and more scalable robotic logistics.