Papers
13
Total Citations
815
H-Index
9
About
Maria Fox is a leading figure in artificial intelligence planning and autonomous robotics, whose work bridges the gap between high-level reasoning and real-world robot operation. Her research focuses on task planning, persistent autonomy, and the integration of planning systems with robotic platforms. Fox is best known for spearheading ROSPlan (223 citations), a groundbreaking framework that brought classical AI planning into the Robot Operating System, enabling robots to generate and execute plans in dynamic environments. Her foundational work on symmetry detection in planning problems (127 citations) revealed how structural symmetries can be exploited to dramatically improve planner efficiency. Fox also led the PANDORA project, a major European initiative tackling the grand challenge of persistent autonomy—creating robots that can learn, adapt, and recover from failures during long-term missions without human intervention. Her contributions extend to robot introspection using hidden Markov models (64 citations) and autonomous mission control for aerial and underwater vehicles. With over 800 citations across her most influential papers, Fox has shaped how modern robots reason about goals, adapt to uncertainty, and operate robustly in the real world.
Research Focus
Key Achievements
Top Papers
- 1Proceedings of IEEE International Conference on Robotics and Automation (ICRA 2014)252 citations · 2014
- 2ROSPlan: Planning in the Robot Operating System223 citations · 2015
- 3The Detection and Exploitation of Symmetry in Planning Problems127 citations · 1999
- 4Robot introspection through learned hidden Markov models64 citations · 2005
- 5Persistent autonomy: the challenges of the PANDORA project38 citations · 2012
- 6Planning the Behaviour of Low-Cost Quadcopters for Surveillance Missions37 citations · 2014
- 7
- 8MADbot: a motivated and goal directed robot12 citations · 2005
- 9
- 10Artificial Intelligence Planning for AUV Mission Control7 citations · 2015