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ORCIDJonathan A. DeCastro
Person information
- affiliation: Toyota Research Institute, Cambridge, MA, USA
- affiliation (former): Cornell University, Ithaca, NY, USA
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2020 – today
- 2024
[j10]Christoforos I. Mavrogiannis
, Jonathan A. DeCastro, Siddhartha S. Srinivasa:
Abstracting road traffic via topological braids: Applications to traffic flow analysis and distributed control. Int. J. Robotics Res. 43(9): 1299-1321 (2024)- [j9]Ruya Karagulle, Nikos Aréchiga, Andrew Best, Jonathan A. DeCastro, Necmiye Ozay:
A Safe Preference Learning Approach for Personalization With Applications to Autonomous Vehicles. IEEE Robotics Autom. Lett. 9(5): 4226-4233 (2024) - [c20]Ruya Karagulle, Necmiye Ozay, Nikos Aréchiga, Jonathan A. DeCastro, Andrew Best:
Incorporating Logic in Online Preference Learning for Safe Personalization of Autonomous Vehicles. HSCC 2024: 5:1-5:11 - [i16]Emily S. Sumner, Jonathan A. DeCastro, Jean Costa, Deepak E. Gopinath, Everlyne Kimani, Shabnam Hakimi, Allison Morgan, Andrew Best, Hieu Nguyen, Daniel J. Brooks, Bassam ul Haq, Andrew Patrikalakis, Hiroshi Yasuda, Katharine Sieck, Avinash Balachandran, Tiffany L. Chen, Guy Rosman:
Personalizing Driver Safety Interfaces via Driver Cognitive Factors Inference. CoRR abs/2402.05893 (2024) - [i15]Justin Lidard, Haimin Hu, Asher Hancock, Zixu Zhang, Albert Gimó Contreras, Vikash Modi, Jonathan A. DeCastro, Deepak E. Gopinath, Guy Rosman, Naomi Ehrich Leonard, María Santos, Jaime Fernández Fisac:
Blending Data-Driven Priors in Dynamic Games. CoRR abs/2402.14174 (2024) - [i14]Haimin Hu, Jonathan A. DeCastro, Deepak E. Gopinath, Guy Rosman, Naomi Ehrich Leonard, Jaime Fernández Fisac:
Think Deep and Fast: Learning Neural Nonlinear Opinion Dynamics from Inverse Dynamic Games for Split-Second Interactions. CoRR abs/2406.09810 (2024) - 2023
- [c19]Ruya Karagulle, Nikos Aréchiga, Andrew Best, Jonathan A. DeCastro, Necmiye Ozay:
Poster Abstract: Safety Guaranteed Preference Learning Approach for Autonomous Vehicles. HSCC 2023: 24:1-24:2 - [i13]Ameesh Shah, Jonathan A. DeCastro, John Gideon, Beyazit Yalcinkaya, Guy Rosman, Sanjit A. Seshia:
Specification-Guided Data Aggregation for Semantically Aware Imitation Learning. CoRR abs/2303.17010 (2023) - [i12]Justin Lidard, Oswin So, Yanxia Zhang, Jonathan A. DeCastro, Xiongyi Cui, Xin Huang, Yen-Ling Kuo, John J. Leonard, Avinash Balachandran, Naomi Ehrich Leonard, Guy Rosman:
GAME-UP: Game-Aware Mode Enumeration and Understanding for Trajectory Prediction. CoRR abs/2305.17600 (2023) - [i11]Ruya Karagulle, Nikos Aréchiga, Andrew Best, Jonathan A. DeCastro, Necmiye Ozay:
A Preference Learning Approach to Develop Safe and Personalizable Autonomous Vehicles. CoRR abs/2311.02099 (2023) - 2022
- [c18]Deepak E. Gopinath, Jonathan A. DeCastro, Guy Rosman, Emily Sumner, Allison Morgan, Shabnam Hakimi, Simon Stent:
HMIway-env: A Framework for Simulating Behaviors and Preferences to Support Human-AI Teaming in Driving. CVPR Workshops 2022: 4341-4349 - [c17]Ruya Karagulle, Nikos Aréchiga, Jonathan A. DeCastro, Necmiye Ozay:
Classification of Driving Behaviors Using STL Formulas: A Comparative Study. FORMATS 2022: 153-162 - [c16]Christoforos I. Mavrogiannis, Jonathan A. DeCastro, Siddhartha S. Srinivasa:
Analyzing Multiagent Interactions in Traffic Scenes via Topological Braids. ICRA 2022: 5806-5813 - [c15]Dan Li, Mohamad Louai Shehab, Zexiang Liu, Nikos Aréchiga, Jonathan A. DeCastro, Necmiye Ozay:
Outlier-robust Inverse Reinforcement Learning and Reward-based Detection of Anomalous Driving Behaviors. ITSC 2022: 4175-4182 - [c14]Christoforos I. Mavrogiannis, Jonathan A. DeCastro, Siddhartha S. Srinivasa:
Implicit Multiagent Coordination at Uncontrolled Intersections via Topological Braids. WAFR 2022: 368-384 - [i10]Jonathan A. DeCastro, Deepak E. Gopinath, Guy Rosman, Emily Sumner, Shabnam Hakimi, Simon Stent:
Learning Latent Traits for Simulated Cooperative Driving Tasks. CoRR abs/2207.09619 (2022) - 2021
- [j8]Xiao Li, Guy Rosman, Igor Gilitschenski, Cristian Ioan Vasile, Jonathan A. DeCastro, Sertac Karaman, Daniela Rus:
Vehicle Trajectory Prediction Using Generative Adversarial Network With Temporal Logic Syntax Tree Features. IEEE Robotics Autom. Lett. 6(2): 3459-3466 (2021) - [j7]Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Luke Fletcher, John J. Leonard, Brian C. Williams, Guy Rosman:
CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy. IEEE Robotics Autom. Lett. 6(3): 4433-4440 (2021) - [c13]Xiao Li, Jonathan A. DeCastro, Cristian Ioan Vasile, Sertac Karaman, Daniela Rus:
Learning A Risk-Aware Trajectory Planner From Demonstrations Using Logic Monitor. CoRL 2021: 1326-1335 - [c12]Brandon Araki, Xiao Li, Kiran Vodrahalli, Jonathan A. DeCastro, Micah J. Fry, Daniela Rus:
The Logical Options Framework. ICML 2021: 307-317 - [i9]Brandon Araki, Xiao Li, Kiran Vodrahalli, Jonathan A. DeCastro, Micah J. Fry, Daniela Rus:
The Logical Options Framework. CoRR abs/2102.12571 (2021) - [i8]Christoforos I. Mavrogiannis, Jonathan A. DeCastro, Siddhartha S. Srinivasa:
Analyzing Multiagent Interactions in Traffic Scenes via Topological Braids. CoRR abs/2109.07060 (2021) - 2020
- [j6]Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Luke Fletcher, John J. Leonard, Brian C. Williams, Guy Rosman:
DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. IEEE Robotics Autom. Lett. 5(4): 5089-5096 (2020) - [c11]Xiao Li, Guy Rosman, Igor Gilitschenski, Jonathan A. DeCastro, Cristian Ioan Vasile, Sertac Karaman, Daniela Rus:
Differentiable Logic Layer for Rule Guided Trajectory Prediction. CoRL 2020: 2178-2194 - [c10]Shinya Shiroshita, Shirou Maruyama, Daisuke Nishiyama, Mario Ynocente Castro, Karim Hamzaoui, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon:
Behaviorally Diverse Traffic Simulation via Reinforcement Learning. IROS 2020: 2103-2110 - [c9]Jonathan A. DeCastro, Karen Leung, Nikos Aréchiga, Marco Pavone:
Interpretable Policies from Formally-Specified Temporal Properties. ITSC 2020: 1-7 - [c8]Daisuke Nishiyama, Mario Ynocente Castro, Shirou Maruyama, Shinya Shiroshita, Karim Hamzaoui, Yi Ouyang, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon:
Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation. ITSC 2020: 1-8 - [i7]Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman:
CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy. CoRR abs/2003.08003 (2020) - [i6]Christoforos I. Mavrogiannis, Jonathan A. DeCastro, Siddhartha S. Srinivasa:
Implicit Multi-Agent Coordination at Unsignalized Intersections via Topological Inference. CoRR abs/2004.05205 (2020) - [i5]Shinya Shiroshita, Shirou Maruyama, Daisuke Nishiyama, Mario Ynocente Castro, Karim Hamzaoui, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon:
Behaviorally Diverse Traffic Simulation via Reinforcement Learning. CoRR abs/2011.05741 (2020) - [i4]Daisuke Nishiyama, Mario Ynocente Castro, Shirou Maruyama, Shinya Shiroshita, Karim Hamzaoui, Yi Ouyang, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon:
Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation. CoRR abs/2011.11991 (2020)
2010 – 2019
- 2019
- [i3]Nikos Aréchiga, Jonathan A. DeCastro, Soonho Kong, Karen Leung:
Better AI through Logical Scaffolding. CoRR abs/1909.06965 (2019) - [i2]Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman:
Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. CoRR abs/1911.12736 (2019) - 2018
- [j5]Javier Alonso-Mora, Jonathan A. DeCastro, Vasumathi Raman, Daniela Rus, Hadas Kress-Gazit:
Reactive mission and motion planning with deadlock resolution avoiding dynamic obstacles. Auton. Robots 42(4): 801-824 (2018) - [c7]Jonathan A. DeCastro, Lucas Liebenwein, Cristian Ioan Vasile, Russ Tedrake, Sertac Karaman, Daniela Rus:
Counterexample-Guided Safety Contracts for Autonomous Driving. WAFR 2018: 939-955 - 2017
- [j4]Jonathan A. DeCastro, Rüdiger Ehlers, Matthias Rungger, Ayca Balkan, Hadas Kress-Gazit:
Automated generation of dynamics-based runtime certificates for high-level control. Discret. Event Dyn. Syst. 27(2): 371-405 (2017) - [c6]Lucas Liebenwein, Wilko Schwarting, Cristian Ioan Vasile, Jonathan A. DeCastro, Javier Alonso-Mora, Sertac Karaman, Daniela Rus:
Compositional and Contract-Based Verification for Autonomous Driving on Road Networks. ISRR 2017: 163-181 - 2016
- [c5]Jonathan A. DeCastro, Hadas Kress-Gazit:
Nonlinear Controller Synthesis and Automatic Workspace Partitioning for Reactive High-Level Behaviors. HSCC 2016: 225-234 - 2015
- [j3]Jonathan A. DeCastro, Hadas Kress-Gazit:
Synthesis of nonlinear continuous controllers for verifiably correct high-level, reactive behaviors. Int. J. Robotics Res. 34(3): 378-394 (2015) - [j2]Bin Zhang, Liang Tang, Jonathan A. DeCastro, Michael J. Roemer, Kai Goebel:
A Recursive Receding Horizon Planning for Unmanned Vehicles. IEEE Trans. Ind. Electron. 62(5): 2912-2920 (2015) - [c4]Jonathan A. DeCastro, Vasumathi Raman, Hadas Kress-Gazit:
Dynamics-driven adaptive abstraction for reactive high-level mission and motion planning. ICRA 2015: 369-376 - [c3]Jonathan A. DeCastro, Javier Alonso-Mora, Vasumathi Raman, Daniela Rus, Hadas Kress-Gazit:
Collision-Free Reactive Mission and Motion Planning for Multi-robot Systems. ISRR (1) 2015: 459-476 - 2014
- [i1]Jonathan A. DeCastro, Rüdiger Ehlers, Matthias Rungger, Ayca Balkan, Paulo Tabuada, Hadas Kress-Gazit:
Dynamics-Based Reactive Synthesis and Automated Revisions for High-Level Robot Control. CoRR abs/1410.6375 (2014) - 2013
- [j1]Xiaodong Zhang, Liang Tang, Jonathan A. DeCastro:
Robust Fault Diagnosis of Aircraft Engines: A Nonlinear Adaptive Estimation-Based Approach. IEEE Trans. Control. Syst. Technol. 21(3): 861-868 (2013) - [c2]Jonathan A. DeCastro, Hadas Kress-Gazit:
Guaranteeing reactive high-level behaviors for robots with complex dynamics. IROS 2013: 749-756 - 2011
- [c1]Liang Tang, Bin Zhang, Jonathan A. DeCastro, Eric Hettler:
An integrated health and contingency management case study on an autonomous ground robot. ICCA 2011: 584-589
Coauthor Index
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last updated on 2024-10-16 20:33 CEST by the dblp team
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