Yi‐Sheng Huang

About

Yi-Sheng Huang is a leading researcher in the modeling, analysis, and control of discrete event systems, with a particular focus on flexible manufacturing systems and multi-robot coordination. His foundational work on Petri net-based controllers for real-world manufacturing cells has shaped how engineers design deadlock-free, efficient production environments. Huang’s 2001 paper on a real-world manufacturing cell controller, which has garnered 12 citations, remains a key reference for implementing Petri net models in industrial automation. He has further advanced the field by developing computationally improved deadlock prevention techniques using MFFP technology, addressing critical challenges in flexible manufacturing where shared resources can cause system deadlocks. His research extends into multi-robot path planning using Petri nets and fault measurement in discrete event systems through probabilistic timed automata, demonstrating a broad impact across automation and robotics. With a career dedicated to bridging theoretical models with practical implementation, Huang’s work continues to influence both academic research and industrial applications in intelligent manufacturing and robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Design, analysis and implementation of a real-world manufacturing cell controller based on Petri nets

   12 citations · 2001
2. 2
   Multi-robot Path Planning Using Petri Nets

   7 citations · 2020
3. 3
   Fault measure of discrete event systems using probabilistic timed automata

   3 citations · 2011
4. 4
   Design of one computationally improved deadlock prevention based on MFFP technology in flexible manufacturing system

   2 citations · 2015

Key Collaborators

Contact & Links