You can also find my articles on my Google Scholar Profile.
Pierre, J., (2024, May). Securing The Skies: Safety-Constrained Decentralized Multi-UAV Coordination with Deep Reinforcement Learning. [Doctoral Dissertation, University of New Mexico]. https://digitalrepository.unm.edu/ece_etds/647
Pierre, J., Sun, X., and Fierro, R. (2024, January). Learning Safe Multi-UAV Coordination with Temporal-Spatial Constraints. 2024 AIAA Science and Technology Forum and Exposition (pp. 1-11). AIAA.
Pierre, J., Sun, X., and Fierro, R. (2023, June). Multi-Agent Partial Observable Safe Reinforcement Learning for Counter Uncrewed Aerial Systems. in IEEE Access, vol. 11, (pp. 78192-78206). IEEE.
Pierre, J., Sun, X., Novick, D. and Fierro, R. (2022, November). Multi-Agent Deep Reinforcement Learning for Countering Uncrewed Aerial Systems. In The 16th International Symposium on Distributed Autonomous Robotic Systems (DARS) 2022 (pp. 1-8). IEEE.
Miao, Z., Thakur, D., Erwin, R. S., Pierre, J., Wang, Y., and Fierro, R. (2016, December). Orthogonal vector field-based control for a multi-robot system circumnavigating a moving target in 3D. In Decision and Control (CDC), 2016 IEEE 55th Conference on (pp. 6004-6009). IEEE.
Goodyear, A., Petersen, C., Pierre, J., Zagaris, C., Baldwin, M., and Kolmanovsky, I. (2015, July). Hardware implementation of Model Predictive Control for relative motion maneuvering. In American Control Conference (ACC), 2015 (pp. 2311-2316). IEEE.