Max Robotics — Global Service Robot Directory + US Certification

About

Dr. Jiliang Luo is a leading researcher in the intersection of discrete event systems and intelligent manufacturing, with a primary focus on the modeling, scheduling, and control of robotic systems using Petri nets. His work addresses critical challenges in modern manufacturing, particularly the optimization of multi-robot path planning and the joint scheduling of process operations and material transportation to minimize makespan. Dr. Luo has pioneered the integration of Petri nets with artificial potential fields, deep reinforcement learning, and neural network heuristics to create more efficient and adaptive scheduling algorithms for flexible manufacturing systems and robotic job shops. His contributions have been recognized through publications including "Multi-robot Path Planning Using Petri Nets" (7 citations) and "Heuristic Scheduling for Robotic Job Shops Using Petri Nets and Artificial Potential Fields" (6 citations). Additionally, his innovative work on synthesizing mobile robot control systems on embedded chips via Petri nets (5 citations) offers a practical methodology to shorten development cycles and improve program reusability. Dr. Luo's research continues to push the boundaries of real-time scheduling and autonomous control in Industry 4.0 environments.