Παρακολούθηση
Jonathan DeCastro
Jonathan DeCastro
Toyota Research Institute
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα cornell.edu - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
User's guide for the commercial modular aero-propulsion system simulation (C-MAPSS)
DK Frederick, JA DeCastro, JS Litt
3452007
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
1132008
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
92*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
892018
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
852012
Rate-based model predictive control of turbofan engine clearance
JA DeCastro
Journal of propulsion and power 23 (4), 804-813, 2007
692007
Collision-Free Reactive Mission and Motion Planning for Multi-Robot Systems
JA DeCastro, J Alonso-Mora, V Raman, D Rus, H Kress-Gazit
582015
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
572021
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
512014
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
472012
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
452010
Synthesis of Nonlinear Continuous Controllers for Verifiably-Correct High-Level, Reactive Behaviors
JA DeCastro, H Kress-Gazit
International Journal of Robotics Research, 2014
422014
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
392014
The logical options framework
B Araki, X Li, K Vodrahalli, J DeCastro, M Fry, D Rus
International Conference on Machine Learning, 307-317, 2021
352021
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
332011
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
322007
Systems and methods for agent tracking
G Rosman, J DeCastro, NA Gonzalez, JJ Leonard, LS Fletcher, D Stonier
US Patent 10,882,522, 2021
292021
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
282013
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
242020
Differentiable logic layer for rule guided trajectory prediction
X Li, G Rosman, I Gilitschenski, J DeCastro, CI Vasile, S Karaman, D Rus
Conference on Robot Learning, 2178-2194, 2021
232021
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