Thomas Dean
Papers
15
Total Citations
820
H-Index
13
About
Thomas Dean is a pioneering researcher in artificial intelligence, robotics, and temporal reasoning, best known for his foundational work on planning under uncertainty and time-dependent decision-making. His major contributions include developing frameworks for solving time-dependent planning problems, where the utility of planning actions is balanced against the cost of time spent planning—a concept that has shaped modern autonomous systems. His 1989 paper on this topic has garnered 292 citations, underscoring its lasting influence. Dean also advanced robot navigation and map learning, addressing uncertainty in sensor data and unknown environments, as seen in his highly cited work on coping with uncertainty in control systems (53 citations) and inferring finite automata for map learning (52 citations). He integrated techniques from AI, control theory, and operations research to design complex systems for robotics and time-critical decision support, as highlighted in his 1991 paper on coordinating, planning, and control (172 citations). Dean’s research on temporal imagery and reasoning about time under incomplete information further solidified his reputation as a leader in temporal AI. His work remains essential for students and researchers exploring autonomous planning, robotics, and uncertainty management.
Research Focus
Key Achievements
Top Papers
- 1Solving time-dependent planning problems292 citations · 1989
- 2Coordinating, Planning and Control172 citations · 1991
- 3
- 4Coping with uncertainty in a control system for navigation and exploration53 citations · 1990
- 5
- 6Coping with Uncertainty in Map Learning41 citations · 1997
- 7Deadlines, travel time, and robot problem solving34 citations · 1985
- 8
- 9Solving stochastic planning problems with large state and action spaces21 citations · 1998
- 10Planning and temporal reasoning under uncertainty18 citations · 1984