Max Robotics — Global Service Robot Directory + US Certification

About

Stephen Duncan’s research lies at the intersection of robotics, control theory, and manufacturing, with a particular focus on optimizing automated spray deposition processes. His major contributions include developing frequency-domain approaches to robot path planning for spray coating, where he transformed a traditionally complex optimization problem into a more tractable analytical framework. His 2005 paper on path separation for spray coating (20 citations) and his 2004 work on frequency-domain path planning (4 citations) established foundational methods for ensuring uniform coat thickness in automated manufacturing. Duncan further advanced this field by addressing thermal variations in spray deposition (2007, 17 citations), introducing optimal robot paths that minimize temperature gradients during hot-material spraying—a critical consideration for quality control. More recently, he has expanded into swarm robotics, applying biological analysis tools to quantitatively assess robot swarm coverage and targeting strategies (2022, 12 citations). His work bridges classical control theory with modern robotics challenges, demonstrating how frequency-domain analysis can solve practical manufacturing problems while also contributing to the theoretical understanding of multi-robot systems. Duncan’s research is particularly notable for its practical impact on industrial automation and its innovative cross-pollination between manufacturing and bio-inspired robotics.