Gregory Buckner

Professor

Dr. Buckner is interested in modeling, analysis, and control of dynamic systems, electromechanical systems, manufacturing automation, intelligent control, mechatronics

Dr. Buckner teaches Design of Electromechanical Systems (MAE 535), a graduate course he introduced in 2000. This course reviews the fundamentals of electromagnetic (EM) theory and introduces the computational tools needed for EM design. During the last half of the semester his students complete industry-sponsored EM machine design projects.

At the undergraduate level, Dr. Buckner teaches Engineering Dynamics (MAE 208) and Principles of Automatic Control (MAE 435). In Engineering Dynamics he brings to class guest lecturers who use engineering dynamics in their work. His Principles of Automatic Control culminates in a “hands on” design project, where students apply modeling and simulation tools to develop controllers which are validated computationally and experimentally. Dr. Buckner uses his research videos to illustrate the power of control systems, like one of an off-road vehicle showing the dramatic improvements in ride quality that can be obtained using an active suspension system.

Dr. Buckner’’s research is interesting to students because it focuses on the development of technologies that address human health needs, because it balances mechanical and electrical systems design, and because of its “hands-on” nature. His students are engaged in research and development using theoretical, computational and experimental tools with a focus on technology transfer and commercialization. Dr. Buckner’s students tend to be independent, motivated and creative.

Outside of work, Dr. Buckner enjoys spending time with his family, working outdoors, fishing and hunting.

Publications

Comparing Deposition Characteristics of Various Embolic Particles Using an In Vitro Prostate Microvasculature Model
Miller, S. R., Jernigan, S. R., Abraham, R. J., & Buckner, G. D. (2024), JOURNAL OF VASCULAR AND INTERVENTIONAL RADIOLOGY, 35(10). https://doi.org/10.1016/j.jvir.2024.06.028
Design Optimization and Tradeoff Analysis of an Actuated Continuum Probe for Pulmonary Nodule Localization and Resection
Mccullough, M. D., Muller, M., Egan, T. M., & Buckner, G. D. (2024), BIOENGINEERING-BASEL, 11(5). https://doi.org/10.3390/bioengineering11050417
Soft pneumatic actuators for pushing fingers into extension
McCall, J. V., Buckner, G. D., & Kamper, D. G. (2024), JOURNAL OF NEUROENGINEERING AND REHABILITATION, 21(1). https://doi.org/10.1186/s12984-024-01444-4
Saturation and duty cycle tolerant self-sensing for active magnetic dampers
Zaccardo, V. M., & Buckner, G. D. (2023), MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 200. https://doi.org/10.1016/j.ymssp.2023.110567
A Permanent Magnet Synchronous Spherical Motor for High-Mobility Servo-Actuation
Shah, J. A., Miller, S. R., Jernigan, S. R., & Buckner, G. D. (2022), MACHINES, 10(8). https://doi.org/10.3390/machines10080612
Comparison of Bolus Versus Dual-Syringe Administration Systems on Glass Yttrium-90 Microsphere Deposition in an In Vitro Microvascular Hepatic Tumor Model
Miller, S. R., Jernigan, S. R., Abraham, R. J., & Buckner, G. D. (2023), JOURNAL OF VASCULAR AND INTERVENTIONAL RADIOLOGY, 34(1), 11–20. https://doi.org/10.1016/j.jvir.2022.07.032
Sensor Fusion with Deep Learning for Autonomous Classification and Management of Aquatic Invasive Plant Species
Perrin, J. E., Jernigan, S. R., Thayer, J. D., Howell, A. W., Leary, J. K., & Buckner, G. D. (2022), ROBOTICS, 11(4). https://doi.org/10.3390/robotics11040068
A Powered Prosthetic Ankle Designed for Task Variability - A Concept Validation
Upadhye, S., Shah, C., Liu, M., Buckner, G., & Huang, H. (2021), 2021 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), pp. 6153–6158. https://doi.org/10.1109/IROS51168.2021.9636324
Control and Control Allocation for Bimodal, Rotary Wing, Rolling-Flying Vehicles
Atay, S., Bryant, M., & Buckner, G. (2021), JOURNAL OF MECHANISMS AND ROBOTICS-TRANSACTIONS OF THE ASME, 13(5). https://doi.org/10.1115/1.4050998
Genetic Algorithm-Based Optimal Design of a Rolling-Flying Vehicle
Jenkins, T., Atay, S., Buckner, G., & Bryant, M. (2021), JOURNAL OF MECHANISMS AND ROBOTICS-TRANSACTIONS OF THE ASME, 13(5). https://doi.org/10.1115/1.4050811

View all publications via NC State Libraries

Grants

  • Small Unmanned Aerial Vehicles (sUAVs) for Autonomous Monitoring and Management of Lygodium Microphyllum
  • Enhanced Management and Impact Assessment of Invasive Aquatic Plants Through Machine Learning-Based Classification
  • Enhanced Management and Impact Assessment of Invasive Aquatic Plants Through Machine Learning-Based Classification
  • Subterranean Exploration and Mapping via Autonomous Rolling-Flying Vehicles
  • Subterranean Mapping: Mobile UAS for Subterranean Mapping and Monitoring
  • Design, Fabrication and Testing of Smart Material Carrier Basket Arrays (smCBAs) for Automated Analysis of 3D Cell Cultures
  • Experimental Validation of Variable Geometry Spray Fuel Injection Technology
  • A Novel Approach to the Treatment of Cardiac Arrhythmia: A Robotic Catheter For Epicardial Pacing Lead Placement
  • Variable Geometry Spray Fuel Injection: Investigating its Effects on Combustion Efficiency and Emissions
  • A Novel Approach to the Treatment of Cardiac Arrhythmia: A Robotic Catheter For Epicardial Pacing Lead Placement
Gregory Buckner