| User's guide for the commercial modular aero-propulsion system simulation (C-MAPSS) DK Frederick, JA DeCastro, JS Litt | 318 | 2007 |
| A modular aero-propulsion system simulation of a large commercial aircraft engine J DeCastro, J Litt, D Frederick 44th AIAA/ASME/SAE/ASEE joint propulsion conference & exhibit, 4579, 2008 | 110 | 2008 |
| DiversityGAN: Diversity-aware vehicle motion prediction via latent semantic sampling X Huang, SG McGill, JA DeCastro, L Fletcher, JJ Leonard, BC Williams, ... IEEE Robotics and Automation Letters 5 (4), 5089-5096, 2020 | 85* | 2020 |
| Reactive mission and motion planning with deadlock resolution avoiding dynamic obstacles J Alonso-Mora, JA DeCastro, V Raman, D Rus, H Kress-Gazit Autonomous Robots 42, 801-824, 2018 | 85 | 2018 |
| Robust fault diagnosis of aircraft engines: A nonlinear adaptive estimation-based approach X Zhang, L Tang, J DeCastro IEEE Transactions on Control Systems Technology 21 (3), 861-868, 2012 | 84 | 2012 |
| Rate-based model predictive control of turbofan engine clearance JA DeCastro Journal of propulsion and power 23 (4), 804-813, 2007 | 66 | 2007 |
| Collision-Free Reactive Mission and Motion Planning for Multi-Robot Systems JA DeCastro, J Alonso-Mora, V Raman, D Rus, H Kress-Gazit | 57 | 2015 |
| Vehicle trajectory prediction using generative adversarial network with temporal logic syntax tree features X Li, G Rosman, I Gilitschenski, CI Vasile, JA DeCastro, S Karaman, ... IEEE Robotics and Automation Letters 6 (2), 3459-3466, 2021 | 50 | 2021 |
| Filtering and prediction techniques for model-based prognosis and uncertainty management L Tang, J DeCastro, G Kacprzynski, K Goebel, G Vachtsevanos 2010 prognostics and system health management conference, 1-10, 2010 | 47 | 2010 |
| A recursive receding horizon planning for unmanned vehicles B Zhang, L Tang, J DeCastro, MJ Roemer, K Goebel IEEE Transactions on Industrial Electronics 62 (5), 2912-2920, 2014 | 46 | 2014 |
| User's guide for the commercial modular aero-propulsion system simulation (c-mapss): Version 2 Y Liu, DK Frederick, JA DeCastro, JS Litt, WW Chan | 46 | 2012 |
| Synthesis of Nonlinear Continuous Controllers for Verifiably-Correct High-Level, Reactive Behaviors JA DeCastro, H Kress-Gazit International Journal of Robotics Research, 2014 | 41 | 2014 |
| Autonomous vehicle battery state-of-charge prognostics enhanced mission planning B Zhang, L Tang, J DeCastro, M Roemer, K Goebel International Journal of Prognostics and Health Management 5 (2), 2014 | 38 | 2014 |
| A testbed for real-time autonomous vehicle PHM and contingency management applications L Tang, E Hettler, B Zhang, J DeCastro Annual Conference of the PHM Society 3 (1), 2011 | 34 | 2011 |
| Development of a numerical model for high-temperature shape memory alloys JA DeCastro, KJ Melcher, RD Noebe, DJ Gaydosh Smart Materials and Structures 16 (6), 2080, 2007 | 31 | 2007 |
| The logical options framework B Araki, X Li, K Vodrahalli, J DeCastro, M Fry, D Rus International Conference on Machine Learning, 307-317, 2021 | 29 | 2021 |
| Guaranteeing reactive high-level behaviors for robots with complex dynamics JA DeCastro, H Kress-Gazit 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013 | 29 | 2013 |
| Systems and methods for agent tracking G Rosman, J DeCastro, NA Gonzalez, JJ Leonard, LS Fletcher, D Stonier US Patent 10,882,522, 2021 | 23 | 2021 |
| Compositional and contract-based verification for autonomous driving on road networks L Liebenwein, W Schwarting, CI Vasile, J DeCastro, J Alonso-Mora, ... Robotics Research: The 18th International Symposium ISRR, 163-181, 2020 | 23 | 2020 |
| A unified nonlinear adaptive approach for detection and isolation of engine faults L Tang, X Zhang, JA DeCastro, L Farfan-Ramos, DL Simon Turbo Expo: Power for Land, Sea, and Air 43987, 143-153, 2010 | 20 | 2010 |
Guy RosmanToyota Research Institute; Massachusetts General HospitalVerified email at csail.mit.edu
