Jonathan DeCastro

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Hadas Kress-GazitCornell UniversityDirección de correo verificada de cornell.edu
Daniela RusAndrew (1956) and Erna Viterbi Professor of Computer Science, MITDirección de correo verificada de csail.mit.edu
Guy RosmanMITDirección de correo verificada de csail.mit.edu
Vasumathi RamanDirección de correo verificada de cds.caltech.edu
Javier Alonso-MoraAssociate Professor, Delft University of TechnologyDirección de correo verificada de tudelft.nl
Cristian-Ioan VasileLehigh UniversityDirección de correo verificada de lehigh.edu
Sertac KaramanAssociate Professor of Aeronautics and Astronautics, Massachusetts Institute of TechnologyDirección de correo verificada de mit.edu
Xiao LiMassachusetts Institute of TechnologyDirección de correo verificada de mit.edu
Soonho KongAmazon Web ServicesDirección de correo verificada de amazon.com
Lucas LiebenweinMassachusetts Institute of TechnologyDirección de correo verificada de mit.edu
Ayca BalkanUniversity of California, Los AngelesDirección de correo verificada de ucla.edu
Ruediger EhlersClausthal University of TechnologyDirección de correo verificada de tu-clausthal.de
Nikos ArechigaToyota Research InstituteDirección de correo verificada de tri.global
Igor GilitschenskiAssistant Professor, University of TorontoDirección de correo verificada de cs.toronto.edu
Kevin J. MelcherNASA Glenn Reseach CenterDirección de correo verificada de nasa.gov
Christoforos MavrogiannisPostdoc, University of WashingtonDirección de correo verificada de cs.washington.edu
Karen LeungUniversity of WashingtonDirección de correo verificada de uw.edu
Russ TedrakeMIT (EECS, MechE, Aero/Astro) and Toyota Research InstituteDirección de correo verificada de mit.edu
Wilko SchwartingMassachusetts Institute of TechnologyDirección de correo verificada de mit.edu
Brandon ArakiMassachusetts Institute of TechnologyDirección de correo verificada de csail.mit.edu

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Jonathan DeCastro

Toyota Research Institute

Dirección de correo verificada de cornell.edu - Página principal

formal methods robotics cyber-physical systems machine learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
User's guide for the commercial modular aero-propulsion system simulation (C-MAPSS) DK Frederick, JA DeCastro, JS Litt	216	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	89	2008
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	65	2012
Rate-based model predictive control of turbofan engine clearance JA DeCastro Journal of propulsion and power 23 (4), 804-813, 2007	56	2007
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 (4), 801-824, 2018	54	2018
Collision-Free Reactive Mission and Motion Planning for Multi-Robot Systems JA DeCastro, J Alonso-Mora, V Raman, D Rus, H Kress-Gazit	48	2015
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	45	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	36	2014
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	35*	2020
Synthesis of Nonlinear Continuous Controllers for Verifiably-Correct High-Level, Reactive Behaviors JA DeCastro, H Kress-Gazit International Journal of Robotics Research, 2014	35	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	34	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	30	2007
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
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	28	2012
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
Exact nonlinear filtering and prediction in process model-based prognostics JA DeCastro, L Tang, KA Loparo, K Goebel, G Vachtsevanos Annual Conference of the PHM Society 1 (1), 2009	20	2009
A verification methodology for prognostic algorithms B Zhang, L Tang, J DeCastro, K Goebel 2010 IEEE AUTOTESTCON, 1-8, 2010	18	2010
Nonlinear controller synthesis and automatic workspace partitioning for reactive high-level behaviors JA DeCastro, H Kress-Gazit Proceedings of the 19th International Conference on Hybrid Systems …, 2016	14	2016
Dynamics-Driven Adaptive Abstraction for Reactive High-Level Mission and Motion Planning JA DeCastro, V Raman, H Kress-Gazit Proceedings of the 2015 International Conference on Robotics and Automation …, 2015	14	2015

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