Publications

Journal Articles

  1. A. Pulido, J. Sforza, J. Parker, A. Diaz, N. Sardinia, B. Sanders, S. Ali, D. Minogue, T. Chase, A. Baker, P. Ifju, and J. Shin, “Autonomous Bathy-drone: An Autonomous Aerial-Aquatic Robotic System for Bathymetric Mapping with Input-Driven Path Planning and Surface Navigation ControlUncertainty-Aware Guidance for Target Tracking subject to Intermittent Measurements using Motion Model Learning,” (Under Review)
  2. M. Jeon, H. Kang, H.-S. Jin, G. R. Cho, J. Shin, and S. Lee, “A Learning Framework for Detecting Underwater Glare Areas Using Pixel Clustering and Color-Based Segmentation with Pseudo-Labels,” IEEE Journal of Oceanic Engineering, (Accepted)
  3. H. Jeon, E.-h. Lee, J. Shin, and S. Lee, “Image Inpainting-Based Point Cloud Restoration for Enhancing Tactical Classification of Unmanned Surface Vehicles,” Sensors, vol. 26, no. 5, 2026, issn: 1424-8220. doi: 10.3390/s26051637
  4. A. Penumarti, H. Ramos, K. Waters, K. Brink, and J. Shin, “Real-Time Uncertainty-Aware Motion Planning for Magnetic-Based Navigation,” IEEE Access, vol. 14, pp. 23 824-23 834, 2026. doi: 10.1109/ACCESS.2026.3661848
  5. D. Jung, A. Pulido, J. Shin and S. -W. Kim, “Point Cloud Structural Similarity-Based Underwater Sonar Loop Detection,” IEEE Robotics and Automation Letters, vol. 10, no. 4, pp. 3859-3866, April 2025, doi: 10.1109/LRA.2025.3547304.
  6. 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.
  7. 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, doi: 10.1007/s10846-024-02094-3
  8. 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 in Virtual Reality, vol. 4, p. 1 210 211, 2023, doi: 10.3389/frvir.2023.1210211
  9. 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.
  10. 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

  1. A. Penumarti, K. Dong, Z.-H. Zhang, Y. Park, Z. Wu, T. Dong, S. Negahdaripour, X. Lin, and J. Shin, “Calibration and Comparative Analysis of Forward-Looking Sonar and 3D Sonar for Enhanced Underwater Object Recognition,” OCEANS 2026 Monterey (To be appeared) ArXiv
  2. T. T. Dong, Z. Wu, A. Penumarti, Z.-H. Zhang, M. Bartlett, J. Shin, and X. Lin, “uScenes: A Multimodal RGB and 3D Sonar Dataset for Underwater Robot Perception,” OCEANS 2026 Monterey (To be appeared) ArXiv
  3. Z. Wu, Y. Lu, Y. Zhang, M. Yu, X. Xiao, J. Shin, and X. Lin, “CAVE-NAV: VLM-Based Autonomous 3D Navigation in Underwater Cave Environments,” OCEANS 2026 Monterey (To be appeared) ArXiv
  4. Y. Park and J. Shin, “A hybrid model-based and model-free framework for active multi-view viewpoint optimization in sonar target recognition,” in OCEANS 2026 Sanya, 2026, pp. 1–6. doi: 10.1109/OCEANS66983.2026.11616812
  5. A. Pulido and J. Shin, “Uncertainty-driven online path planning for autonomous bathymetry mapping using a tethered system,” in AIAA SCITECH 2026 Forum. doi: 10.2514/6.2026-2375. [Online]. Available: https://arc.aiaa.org/doi/abs/10.2514/6.2026-2375
  6. Puthumanaillam, G., Penumarti, A., Vora, M., Padrao, P., Fuentes, J., Bobadilla, L., Shin, J., & Ornik, M., “Belief-Conditioned One-Step Diffusion: Real-Time Trajectory Planning with Just-Enough Sensing,” Accepted to 9th Conference on Robot Learning (CoRL) as Oral Presentation
  7. Z.H. Zhang, E.B. Herrin, J. Guo, A. Penumarti, Z. He, A. Pulido, and J. Shin, “Action Recognition for Underwater Gesture Communication in Human Diver and Robot Teaming,” Accepted to 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025)
  8. A. Pulido, K. Volle, Z.I. Bell, and J. Shin, “Transformer-based Motion Model for Robust Target Tracking under Intermittent and Noisy Measurements,” Accepted to 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025)
  9. Z.H. Zhang, J.K. Schueller, and J. Shin, “Integrated Observer-Based Kalman Filter and LQR Control with Lyapunov Stability Analysis for Tractor-Trailer Systems,” in 2025 ASABE Annual International Meeting
  10. 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,” in 2025 American Control Conference (ACC), Denver, CO, USA, 2025, pp. 3140-3145, doi: 10.23919/ACC63710.2025.11107429.
  11. E.B. Herrin, A. Penumarti, A. Pulido, N. Iyer, Y. Wu, K. Lewellen, T. Fitzsimmons, and J. Shin, “Lessons from RAITE: real-world evaluation of robust multimodal target detection and tracking under adversarial attacks,” in Proc. SPIE 13480, Disruptive Technologies in Information Sciences IX, 134800I (21 May 2025); doi: https://doi.org/10.1117/12.3053971
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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.
  17. 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.
  18. 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.
  19. 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
  20. 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.

Workshop Paper & Poster Presentation

  1. E.B. Herrin, Z.H. Zhang, P. Sarma, X. Lin, and J. Shin, “SGD11: A Diver Gesture Recognition Dataset for Underwater Human-Robot Collaboration,” in AQ2UASIM Workshop at International Conference on Robotics and Automation (ICRA) 2025
  2. 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