Terry Tidwell

Papers

Total Citations

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About

Terry Tidwell is a researcher specializing in real-time systems, scheduling theory, and cyber-physical systems, with a particular focus on the challenging demands of mobile robotics and adaptive computing environments. His work addresses a fundamental tension in modern autonomous systems: the need to respond flexibly to unpredictable environments while maintaining reliable temporal performance. Tidwell's most notable contribution lies in developing novel scheduling frameworks for open soft real-time systems — a class of systems where traditional scheduling assumptions break down due to dynamic, real-world variability. His 2008 paper on scheduling design and verification laid important groundwork in this space, while his 2012 work on real-time scheduling via reinforcement learning represented a forward-thinking integration of machine learning techniques into time-critical system management, anticipating trends that would later become central to cyber-physical systems research. His 2010 paper further extended this work by tackling scalability challenges in utilization-aware scheduling policies. Collectively, his papers have accumulated around 37 citations, reflecting a focused but meaningful contribution to a specialized and technically demanding field. Students working on robotics, embedded systems, or autonomous agents will find Tidwell's research a valuable foundation for understanding adaptive real-time scheduling design.