Academic Credentials
  • Ph.D., Mechanical Engineering, Virginia Polytechnic Institute and State Univ, 2023
  • M.S., Mechanical Engineering, Virginia Polytechnic Institute and State Univ, 2021
  • B.S., Mechanical Engineering, Auburn University (AU), 2019
Professional Honors
  • Best Conference Paper Award, IEEE International Conference on Robotics and Automation, 2023
  • Rudolf Kalman Best Paper Award, ASME Dynamic Systems and Control Division, 2022

Dr. Randall Fawcett's area of expertise is in autonomy; planning and control of complex systems, with an emphasis on robotic applications. He has extensive knowledge regarding complex multi-body robotics and nonlinear control algorithms, along with experience designing prototypes for robots and significant programming knowledge for analysis of system behavior and implementation of real-time control algorithms.

Prior to joining exponent, Dr. Fawcett was a graduate research assistant in the Hybrid Dynamic Systems and Robot Locomotion Lab at Virginia Tech, where he focused on creating algorithms that allowed quadrupedal robots to navigate unknown and unstructured environments robustly. More specifically, his work focused on utilizing data-driven methods and optimization techniques for both trajectory planning and nonlinear control of quadrupeds. In addition, he conducted research into efficient algorithms that could be used in multi-agent configurations, allowing groups of robots to physically interact with one another while maneuvering through challenging environments. Dr. Fawcett further performed experimental evaluations of the robustness of all control methodologies thoroughly on real hardware platforms.