| A UAV-enabled dynamic multi-target tracking and sensing framework N Patrizi, G Fragkos, K Ortiz, M Oishi, EE Tsiropoulou GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020 | 30 | 2020 |
| Learning approximate forward reachable sets using separating kernels AJ Thorpe, KR Ortiz, MMK Oishi Learning for dynamics and control, 201-212, 2021 | 12 | 2021 |
| State-based confidence bounds for data-driven stochastic reachability using Hilbert space embeddings AJ Thorpe, KR Ortiz, MMK Oishi Automatica 138, 110146, 2022 | 7 | 2022 |
| SReachTools kernel module: Data-driven stochastic reachability using hilbert space embeddings of distributions AJ Thorpe, KR Ortiz, MMK Oishi 2021 60th IEEE Conference on Decision and Control (CDC), 5073-5079, 2021 | 5 | 2021 |
| Data-driven stochastic reachability using hilbert space embeddings AJ Thorpe, KR Ortiz, MM Oishi arXiv preprint arXiv:2010.08036, 2020 | 5 | 2020 |
| Characterizing Within-Driver Variability in Driving Dynamics During Obstacle Avoidance Maneuvers KR Ortiz, AJ Thorpe, AM Perez, M Luster, BJ Pitts, M Oishi IFAC-PapersOnLine 55 (41), 13-19, 2022 | 2 | 2022 |
| A Framework for Closed-Loop Optimization of an Automated Mechanical Serial-Sectioning System via Run-to-Run Control as Applied to a Robo-Met. 3D D Gallegos-Patterson, K Ortiz, C Danielson, JD Madison, AT Polonsky JOM 74 (8), 2930-2940, 2022 | 1 | 2022 |
| Classification of Human Learning Stages via Kernel Distribution Embeddings MS Yuh, KR Ortiz, K Sommer-Kohrt, M Oishi, N Jain IEEE Open Journal of Control Systems, 2024 | | 2024 |
| Constrained Run-to-Run Control for Precision Serial Sectioning D Gallegos-Patterson, KR Ortiz, J Madison, AT Polonsky, C Danielson 2022 IEEE Conference on Control Technology and Applications (CCTA), 540-545, 2022 | | 2022 |
Meeko OishiProfessor, Electrical and Computer Engineering, University of New MexicoVerified email at unm.edu
