Control Systems, Machine Learning and Robotics
Our faculty are advancing research in control systems, machine learning, and robotics, exploring cutting-edge topics such as autonomous systems, adaptive and optimal control, reinforcement learning, human-robot interaction, swarm robotics, neural networks for control, robotic manipulation and locomotion, intelligent manufacturing and automation, cyber-physical systems, sensor fusion and perception, and applications in aerospace, automotive, biomedical, and industrial systems.
Learn more
We use RoboDK for simulation and offline programming of industrial robots.
Interested in discussing the research we are working on or learning more? Please contact:
Douglas Bristow
William E. Walker III Professor/Director of the Center for Aerospace Manufacturing Technologies
573-341-6559 | dbristow@mst.edu |
292C Toomey Hall
Dynamic modeling and control of micro- and nano-positioning systems, atomic force microscopes and additive manufacturing systems; volumetric error compensation; iterative learning control, multi-dimensional control, and signal processing.
Xiaosong Du
Assistant Professor
573-341-6008 | xiaosongdu@mst.edu |
337 Toomey Hall
Machine Learning; Artificial Intelligence; Aircraft Design Optimization; Electric Drones
K. Krishnamurthy
Professor
573-341-4495 | kkrishna@mst.edu |
280 Toomey Hall
System dynamics, control, robotics, and neurotechnologies.
Ming Leu
Curator’s Distinguished Professor/Bailey Distinguished Professor/Director of Innovative Smart & Additive Manufacturing Laboratory
320 Engineering Research Laboratory
Rapid prototyping, additive manufacturing, intelligent manufacturing, virtual reality, CAD/CAM, robotics, mechatronics and automatic control.
Frank Liou
Bytnar Professor/Director of Manufacturing Engineering Program
292B Toomey Hall
Metal additive manufacturing process design, modeling, integration, monitoring, and control; CAD/CAM.
Smriti Nandan Paul
Assistant Professor
573-341-4097 | smritinandan.paul@mst.edu |
290C Toomey Hall
(Astro)dynamics, space domain awareness/space situational awareness, space traffic management, space weather, stochastic machine learning techniques, GNC (Guidance, Navigation, and Control) for space sustainability and missions, computer vision, and space autonomy.
Chaoying Pei
Assistant Professor
573-341-4187 | cpk4t@mst.edu |
131 Toomey Hall
Non-convex optimization; Quadratically Constrained Quadratic Programs (QCQPs); Optimal control; Space exploration technology; Machine learning; Distributed computing
Yun Seong Song
Associate Professor
573-341-4371 | songyun@mst.edu |
292D Toomey Hall
Physical Human-Robot Interaction (pHRI), Physical Human-Human Interaction (pHHI), Human Movement Assistance, Rehabilitation Robotics, Wearable Devices, Energy-Harvesting from Human Movement, Design and Instrumentation of Medical Devices.
Follow Mechanical and Aerospace Engineering