Publications

Publications & Preprints:

Choi, T., O. Would, A. Salazar-Gomez, and G. Cielniak (2021): Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies. arXiv:2109.10135. [Data] [Code].

Choi, T. and G. Cielniak (2021): Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning. In: Proceedings of the 10th European Conference on Mobile Robots (ECMR 2021). Bonn, Germany (Virtual).

Choi, T., Benjamin Pyenson, Juergen Liebig, and T. P. Pavlic (2021): Beyond Tracking: Using Deep Learning to Discover Novel Interactions in Biological Swarms. Presented at the 4th International Symposium on Swarm Behavior and Bio-Inspired Robotics (SWARM 2021). Kyoto, Japan (Virtual). arXiv:2108.09394. — [Best Paper Award]

Choi, T., Benjamin Pyenson, Juergen Liebig, and T. P. Pavlic (2021): Identification of Abnormal States in Videos of Ants Undergoing Social Phase Change. In: Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021). Virtual conference. [Data] [Code].

Choi, T. (2020): Deep Learning Approaches for Inferring Collective Macrostates from Individual Observations in Natural and Artificial Multi-Agent Systems Under Realistic Constraints. In: Ph.D. thesis, Arizona State University.

Choi, T. and T. P. Pavlic (2020): Automatic Discovery of Motion Patterns that Improve Learning Rate in Communication-Limited Multi-Robot Systems. In: Proceedings of the 2020 IEEE International Conference on Multisensor Fusion and Integration (MFI 2020). Karlsruhe, Germany (Virtual).

Kang, S., T. Choi and T. P. Pavlic. (2020): How Far Should I Watch? Quantifying the Effect of Various Observational Capabilities on Long-range Situational Awareness in Multi-robot Teams. In: Proceedings of the 1st IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2020). Washington, DC, USA (Virtual). [Data & Code].

Choi, T., S. Kang, and T. P. Pavlic. (2020): Learning Local Behavioral Sequences to Better Infer Non-local Properties in Real Multi-robot Systems. In: Proceedings of the 2020 IEEE International Conference on Robotics and Automation (ICRA 2020). Paris, France (Virtual). [Data].

Choi, T., T. P. Pavlic, and A. Richa. (2017): Automated Synthesis of Scalable Algorithms for Inferring Non-Local Properties to Assist in Multi-Robot Teaming. In: Proceedings of the 2017 IEEE International Conference on Automation Science and Engineering (CASE 2017). Xi’an, China.

Choi, T. and H. Na. (2016): Stealthy Behavior Simulations based on Cognitive Data. In: The Journal of Korea Society (JKGS), 16(2):27–40.

Choi, T. and H. Na. (2015): Making Levels More Challenging with a Cooperative Strategy of Ghosts in Pac-Man. In: The Journal of Korea Society (JKGS), 15(5):89–98.

Choi, T. and H. Na. (2015): Stealthy Behavior Simulations based on Cognitive Data. In: Proceedings of the 2015 IEEE International Conference on Machine Learning and Cybernetics (ICMLC 2015). Guangzhou, China.