Max Robotics — Global Service Robot Directory + US Certification

About

Scott McMillan is a robotics and computational dynamics researcher whose work has significantly advanced the simulation of complex robotic systems, particularly in challenging underwater environments. His research focuses on dynamic simulation algorithms, underwater robotic vehicles (URVs), and manipulator systems, with an emphasis on computational efficiency and real-world applicability. McMillan's most influential contribution is his development of efficient O(N) dynamic simulation algorithms for underwater robotic vehicles equipped with manipulators, a landmark 1995 paper that has garnered over 160 citations. By extending established algorithms to account for hydrodynamic effects — including added mass, viscous drag, fluid acceleration, and buoyancy — he created tools essential for modeling the complex physics governing underwater robotics. His 1994 dissertation laid the theoretical groundwork for these advances, addressing multi-chain robotic systems motivated by real-world needs such as hazardous waste cleanup and deep-sea exploration. Beyond underwater systems, McMillan contributed to parallel computing approaches for real-time robotic simulation and developed object-oriented frameworks that made these simulation tools more accessible and extensible. His body of work, spanning nearly a decade of sustained research, has provided foundational computational tools that continue to influence the design and development of autonomous underwater vehicles and robotic manipulator systems.