Max Robotics — Global Service Robot Directory + US Certification

About

MuDer Jeng’s research career spans the frontiers of automation, robotics, and intelligent control, with a particular focus on bridging theoretical models and real-world applications. His most influential work, “Design, analysis and implementation of a real-world manufacturing cell controller based on Petri nets” (2001, 12 citations), established a foundational approach for coordinating flexible manufacturing systems, demonstrating how Petri net modeling can be translated into practical, reliable cell controllers. This contribution remains a key reference for researchers in discrete event systems and industrial automation. Jeng further advanced the field of underwater robotics with his work on an intelligent underwater robotic manipulator system (2002, 5 citations), integrating teleoperation, supervisory control, and image-based task planning—a pioneering effort in autonomous marine manipulation. His later research introduced a probabilistic timed automata approach for fault measurement in discrete event systems (2011, 3 citations), offering a novel framework for reliability analysis. Most recently, Jeng has contributed to rehabilitation robotics, developing a visual feedback-integrated gait training system for stroke recovery (2016, 2 citations). His career reflects a consistent commitment to translating complex control theory into tangible, impactful engineering solutions across manufacturing, marine, and medical domains.