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About

Derek Long is a distinguished researcher whose work spans artificial intelligence planning, autonomous robotics, and intelligent systems. Best known for his contributions to AI planning, Long has made significant strides in understanding how symmetry in planning problems can be detected and exploited to improve computational efficiency — work that earned 127 citations and remains influential in the field. His research extends naturally into robotic autonomy, where he has explored introspective capabilities through learned Hidden Markov Models, autonomous science planning for Mars rover missions, and mission control for Autonomous Underwater Vehicles (AUVs). Long has also contributed to emerging areas including low-cost quadcopter surveillance planning and the ethics of AI decision-making, reflecting a career that evolves alongside technological frontiers. His involvement in ICRA 2014 proceedings, among the most prestigious robotics conferences globally, underscores his standing in the robotics community. A recurring theme across his work is enabling robots and AI agents to operate effectively with minimal human supervision — particularly in challenging, remote environments like deep space. With research touching on planning, execution monitoring, and explainable AI, Long's contributions collectively advance the goal of genuinely autonomous, trustworthy intelligent systems.