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Prof. Fukunaga's research focuses on developing efficient algorithms for determining sequences of actions to be executed by autonomous systems that achieve desired goals while satisfying numerous, often conflicting, constraints. For example, he has worked on software that enable the autonomous operation of a satellite that observe volcanic activity from Earth orbit, as well as a system for cloud and dust devil detection onboard a Mars rover. He has also worked on practical, industrial systems, including a large-scale staff scheduling in call centers with thousands of employees. Techniques used to solve such problems include search algorithms for efficiently, systematically, exploring complex state spaces, as well as heuristic strategies such as evolutionary computation (optimization algorithms based on biological evolution).
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2022 IEEE Congress on Evolutionary Computation (CEC)pp.1-8, (2022)
2022 IEEE Congress on Evolutionary Computation (CEC)pp.1-8, (2022)
Satoru Horie,Alex Fukunaga
Proceedings of the International Symposium on Combinatorial Searchno. 1 (2021): 134-138
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Frontiers in Artificial Intelligence and ApplicationsNeuro-Symbolic Artificial Intelligence: The State of the Art (2021)
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