Electrical and Computer Engineering
|Assistant||Claire E. Bauerle|
Professor Neuman's research interests span control engineering and robotics, revolving around the development of methodologies, as well as reliable and robust software tools to model, simulate and design robust feedback controllers for robotic manipulators.
Current analytical and computational activities include computational robot dynamics (and the symbolic and numeric modeling of robotic manipulators), the comparative computational requirements of robot dynamics formulations, the physical interpretation of robot dynamics, inherently discrete-time robot dynamics modeling (for simulation, trajectory planning and controller design), robot parameter identification, robust dynamic robot control at the joint level, and reliable and robust computation for control engineering applications. Of particular interest is the application of these dynamic modeling and controller design methodologies to wheeled mobile robots.