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The Operations objective is to create cognitively-inspired algorithms that allow robots to participate in the data decision process with human scientists to interpret observations and dynamically adjust exploration plans.
Selected Publications
Modelling experts' sampling strategy to balance multiple objectives during scientific explorations
Liu, S., Wilson, C. G., Lee, Z., & Qian, F., Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, (2024).
Explicable and explainable robot sampling suggestions: A field demonstration with an expert geoscientist. Presented at the Explainability for Human-Robot Collaboration
Flynn, D., Liu, S., Qian, F., & Wilson, C. G., ACM/IEEE International Conference on Human-Robot Interaction Worshop (2024).
Understanding human dynamic sampling objectives to enable robot-assisted scientific decision making
Liu, S., Wilson, C. G., Krishnamachari, B., & Qian, F., Transactions on Human-Robot Interaction, 13 (1), 1-17 (2023).
Field evaluation of robotic information gathering algorithms with expert Earth and planetary scientists
Lee, Z. I., Brunton, I., Ewing, R. C., Fisher, K. R., Jerolmack, D. J., Jones, N. A., Koditschek, D. E., Nachan, M., Qian, F., Rivera-Hernandez, F., Ruck, J., Shipley, T. F., Thompson, S., & Wilson, C. G., The 55th annual Lunar and Planetary Science Conference (2024).
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