Robotics, Automation, and Manufacturing
The Robotics, Automation, and Manufacturing research cluster at Miami University’s College of Engineering and Computing (CEC) explores advanced technologies that integrate mechanical systems, artificial intelligence, and smart manufacturing. Faculty and students collaborate on projects in robotics, computer vision, electric vehicles, and autonomous systems to tackle real-world challenges in industry, transportation, and healthcare. Research is rooted in both theoretical frameworks and hands-on implementation, preparing students to lead in modern automated environments.
Labs and resources
Supports research in artificial intelligence and bio-robotics. Includes the Self-Driving Car Studio from Quanser, enabling exploration of machine learning, navigation, traffic coordination, and control in autonomous vehicles.
Provides hands-on training with industrial and collaborative robots. Students can earn factory certification in FACNUC’s Material and Handling Operations. Emphasizes robot programming, vision processing, and project-based learning.
Develops optimal control strategies for dynamic systems, with a focus on robotics and defense scenarios. Translates theoretical control strategies into physical hardware implementations.
Features National Instruments control hardware (FPGA, DSP, NI Elvis) and control software (MATLAB, LabVIEW, Arduino). Supports instrumentation and hardware development for control systems.
Equipped with Cohda Wireless Connection Suites for vehicle communication testing and VISSIM licenses for vehicular trace simulation. Facilitates performance testing in connected vehicle environments.
CEC faculty working in this research cluster
Our faculty bring expertise in robotics, control systems, machine learning, and advanced manufacturing, leading impactful research and mentoring the next generation of engineers. Select a faculty researcher below to learn more about their work and recent publications.
Brian Swanson, Ph.D
Dynamic Optimization and Systems
John Femiani, Ph.D
Machine Learning, Robotics
Dave Hartup, Ph.D.
Industrial Robotics, AI Control of Robotic Swarms, Image Processing, EO/IR Sensors for Robotics
Brian Van Scoy, Ph.D.
Controls for Multi-Robot Systems
SK Khairul Hasan, Ph.D.
Rehabilitation Exoskeleton Robot Design and Control
Veena Chidurala, Ph.D.
Sensor Systems, Signal Processing, Machine Learning, Computer Vision
If your company is interested in benefiting from research opportunities and faculty expertise at the College of Engineering and Computing, please contact:
Jenni Szolwinski
Director of Industry Relations
Miami University
513-529-0702
You can also learn more about partnership opportunities by following the button below.
Below, you’ll find contact information for the faculty members involved in this research cluster. Feel free to reach out if you’d like to get involved as a student researcher!
