Richard Stansbury

Associate Professor and Program Coordinator for M.S. in Unmanned and Autonomous Systems Engineering
Electrical Engineering and Computer Science Dept
College of Engineering

Office Hours

Monday 12-1pm; Friday 4-5pm (online - email for Zoom link)

Areas of Expertise

Regulatory issues for UAV; unmanned systems; control systems; software integration; applied artificial intelligence
Richard Stansbury

Richard S. Stansbury is an associate professor of Computer Science and Computer Engineering at Embry-Riddle Aeronautical University, Daytona Beach Campus. He received his BS and MS degrees in Computer Engineering (2002 and 2004 respectively) and PhD in Computer Science (2007) from the University of Kansas. As a graduate research assistant, he developed autonomous ground vehicles for operation in Greenland and Antarctica. His PhD dissertation was titled “Constraint-based Task Selection and Configuration for Autonomous Mobile Robots.” 

Prof. Stansbury teaches the computer and software engineering capstone senior design course.  Each year, with his teaching partner Massood Towhidnejad, a new project is developed and they walk the students through the full engineering life cycle.  Past projects include: an autonomous ground vehicle, the EcoCAR Intelligent Drive Efficiency Assistant (IDEA), and the Search and Rescue (SAR) Eagles mixed air/ground robotics team.  Prof. Stansbury also teaches two computer science courses:  Data Structures and Algorithms in the Fall and Introduction to Artificial Intelligence in the Spring.

His research interests focuses upon unmanned systems including both autonomous ground vehicles and unmanned aircraft systems.  He has worked on two FAA studies involving a survey of current and near-term future technologies followed by a regulatory gap analysis to determine the regulatory issues associated with introducing these new technologies into the current FAA regulatory environment.  The first of these studies focused upon command, control, and communication (C3) technologies and the second study on emergency recovery and flight termination (ERFT) systems.  During the Spring and Summer 2010, Prof. Stansbury will be working with NOAA to integrate a sensor payload into an unmanned aircraft for operation in a tropical cyclone.

  • Ph.D. - Doctor of Philosophy in Computer Science, University of Kansas
  • M.S. - Master of Science in Computer Engineering, University of Kansas
  • B.S. - Bachelor of Science in Computer Engineering, University of Kansas

  • CS 455: Artificial Intelligence
  • CS 595A: Artificial Intelligence
  • CS 315: Data Structs/Analysis Algor
  • CS 800: Dissertation
  • CS 317: Files/Database Systems
  • CS 699: Special Topics in Comp Science
  • UAS 691: UAS Capstone Design Proj I

UAS 691 - UAS Capstone Desgin Proj I

CS 455 - Artificial Intelligence (crosslisted with CS 595)

UAS 501 - Introduction to Unmanned Aircraft Design