Journal Articles
- A. Pulido, K. Volle, K. Waters, Z. I. Bell, P. Ganesh, and J. Shin, “Uncertainty-Aware Guidance for Target Tracking subject to Intermittent Measurements using Motion Model Learning,” IEEE Control Systems Letters (In Review), 2024, Preprint
- J. Kim, H. -J. Park, A. Penumarti and J. Shin, “Fast Marching Based Rendezvous Path Planning for a Team of Heterogeneous Vehicles,” in IEEE Access, vol. 12, pp. 122609-122623, 2024, doi: 10.1109/ACCESS.2024.3444314.
- A. Paradise, S. Surve, J. C. Menezes, M. Gupta, V. Bisht, K. R. Jang, C. Liu, S. Qiu, J. Dong, J. Shin, and S. Ferrari, “Realthasc – a cyber-physical xr testbed for ai-supported real-time human autonomous systems collaborations,” Frontiers, 2023
- M. Bays, T. Wettergren, J. Shin, S. Chang, and S. Ferrari, “Persistent schedule evaluation and adaptive re-planning for maritime search tasks,” Journal of Intelligent & Robotic Systems, 2023
- A. L. Diaz, A. Ortega, H. Tingle, A. Pulido, O. Cordero, M. Nelson, N. Cocoves, J. Shin, R. Carthy, B. Wilkinson, and P. Ifju, “The Bathy-Drone: An Autonomous Uncrewed Drone-Tethered Sonar System,” Drones, vol. 6, no. 10, p. 294, Oct. 2022, doi: 10.3390/drones6100294.
- J. Shin, S. Chang, J. Weaver, J. C. Isaacs, B. Fu and S. Ferrari, “Informative Multiview Planning for Underwater Sensors,” in IEEE Journal of Oceanic Engineering, vol. 47, no. 3, pp. 780-798, July 2022, doi: 10.1109/JOE.2021.3119150
Conference Proceedings
- A. Penumarti and J. Shin, “Global Uncertainty-Aware Planning for Magnetic Anomaly-Based Navigation,” IEEE ICRA 2025 (In Review), Preprint
- A. Penumarti, K. Waters, J.H. Ramos and J. Shin, “Neural Implicit Sensor Model Development for Virtual Testbed of Magnetic-Based Navigation”, in AIAA SCITECH 2025 Forum (Abstract Accepted)
- A. Pulido, N. Sardinia, B. Sanders, P. Ifju, and J. Shin, “Coverage path planning for a robotics platform equipped with a side-scan sonar sensor for underwater bathymetry mapping,” in AIAA SCITECH 2024 Forum
- B. Herrin, V. Close, N. Berner, J. Herbert, J. Mindlin, S. Paez, R. James, and J. Shin, “Submodical: Modular underwater robot for rapid development and validation of autonomous systems,” in OCEANS 2023, Gulf Coast
- A. Pulido, A. Diaz, A. Ortega, P. Ifju, and J. Shin, “Trajectory planning and control of bathy-drone: A drone towing a boat equipped with sonar for bathymetry mapping,” in AIAA SCITECH 2023 Forum, 2023, p. 1811
- J. H. Ramos, J. Shin, K. Volle, P. Buzaud, K. Brink and P. Ganesh, “Information-Aware Guidance for Magnetic Anomaly based Navigation,” 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 2022, pp. 6347-6354, doi: 10.1109/IROS47612.2022.9981709.
- A. Pulido, R. Qin, A. Diaz, A. Ortega, P. Ifju and J. Shin, “Time and Cost-Efficient Bathymetric Mapping System using Sparse Point Cloud Generation and Automatic Object Detection,” OCEANS 2022, Hampton Roads, Hampton Roads, VA, USA, 2022, pp. 1-8, doi: 10.1109/OCEANS47191.2022.9977073.
- J. Shin, S. Chang, M. J. Bays, J. Weaver, T. A. Wettergren and S. Ferrari, “Synthetic Sonar Image Simulation with Various Seabed Conditions for Automatic Target Recognition,” OCEANS 2022, Hampton Roads, Hampton Roads, VA, USA, 2022, pp. 1-8, doi: 10.1109/OCEANS47191.2022.9977275.
- J. Shin, F. Kim, and S. Ferrari, “Deep Generative Model and Reinforcement Learning Solutions to Traveling Salesman Problems with Unit Circles,”AIAA SCITECH 2022 Forum, San Diego, CA, USA, January 3-7, 2022, p. 2209
- S. Chang, J. Isaacs, B. Fu, J. Shin, P. Zhu, and S. Ferrari, “Confidence level estimation inmulti-target classification problems,” Proc. SPIE, vol. 10628, 2018, Art. no. 1062818.
Poster Presentation
- A.L. Diaz, A.E. Ortega, H. Tingle, A. Pulido, M. Nelson, N. Cocoves, R.R. Carthy, J. Shin, P.G. Ifju, “Drone-based Bathymetric Mapping Platform” Poster Presentation, University of Florida Water Institute Symposium, Gainesville, FL, USA, February 22, 2022