Jonathan A. DeCastro

58 papers A* 5A 2C 3Misc 3Journal 33Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the Strengths and Weaknesses of Data for Open-set Embodied Assistance. CoRR Pradyumna Tambwekar, Andrew Silva, Deepak Edakkattil Gopinath, Jonathan A. DeCastro, Xiongyi Cui, Guy Rosman
2025	A*	`conf`	Computational Teaching for Driving via Multi-Task Imitation Learning. ICRA Deepak E. Gopinath, Xiongyi Cui, Jonathan A. DeCastro, Emily Sumner, Jean Costa, Hiroshi Yasuda, Allison Morgan, Laporsha Dees, Sheryl Chau, John J. Leonard, Tiffany L. Chen, Guy Rosman, Avinash Balachandran
2025	—	`conf`	Enhancing Trust Repair in Driving: The Role of AI Emotional Expression and Perceived Control. ITSC Xinyue Hu, Laporsha Dees, Deepak E. Gopinath, Andrew Silva, Jonathan A. DeCastro, Guy Rosman, Emily Sumner
2025	J	`jnl`	Estimating cognitive biases with attention-aware inverse planning. CoRR Sounak Banerjee, Daphne Cornelisse, Deepak Edakkattil Gopinath, Emily Sumner, Jonathan A. DeCastro, Guy Rosman, Eugene Vinitsky, Mark K. Ho
2025	J	`jnl`	Learning to Plan, Planning to Learn: Adaptive Hierarchical RL-MPC for Sample-Efficient Decision Making. CoRR Toshiaki Hori, Jonathan A. DeCastro, Deepak E. Gopinath, Avinash Balachandran, Guy Rosman
2025	J	`jnl`	Safety with Agency: Human-Centered Safety Filter with Application to AI-Assisted Motorsports. CoRR Donggeon David Oh, Justin Lidard, Haimin Hu, Himani Sinhmar, Elle Lazarski, Deepak Edakkattil Gopinath, Emily S. Sumner, Jonathan A. DeCastro, Guy Rosman, Naomi Ehrich Leonard, Jaime Fernández Fisac
2025	A*	`conf`	Think Deep and Fast: Learning Neural Nonlinear Opinion Dynamics from Inverse Dynamic Games for Split-Second Interactions. ICRA Haimin Hu, Jaime Fernández Fisac, Naomi Ehrich Leonard, Deepak E. Gopinath, Jonathan A. DeCastro, Guy Rosman
2025	J	`jnl`	Timing the Message: Language-Based Notifications for Time-Critical Assistive Settings. CoRR Ya-Chuan Hsu, Jonathan A. DeCastro, Andrew Silva, Guy Rosman
2024	J	`jnl`	A Safe Preference Learning Approach for Personalization With Applications to Autonomous Vehicles. IEEE Robotics Autom. Lett. Ruya Karagulle, Nikos Aréchiga, Andrew Best, Jonathan A. DeCastro, Necmiye Ozay
2024	J	`jnl`	Abstracting road traffic via topological braids: Applications to traffic flow analysis and distributed control. Int. J. Robotics Res. Christoforos I. Mavrogiannis, Jonathan A. DeCastro, Siddhartha S. Srinivasa
2024	—	`conf`	Blending Data-Driven Priors in Dynamic Games. Robotics: Science and Systems Justin Lidard, Haimin Hu, Asher J. Hancock, Zixu Zhang, Albert Gimó Contreras, Vikash Modi, Jonathan A. DeCastro, Deepak Edakkattil Gopinath, Guy Rosman, Naomi Ehrich Leonard, Maria Santos, Jaime Fernández Fisac
2024	J	`jnl`	Blending Data-Driven Priors in Dynamic Games. CoRR Justin Lidard, Haimin Hu, Asher J. Hancock, Zixu Zhang, Albert Gimó Contreras, Vikash Modi, Jonathan A. DeCastro, Deepak E. Gopinath, Guy Rosman, Naomi Ehrich Leonard, María Santos, Jaime Fernández Fisac
2024	J	`jnl`	Computational Teaching for Driving via Multi-Task Imitation Learning. CoRR Deepak E. Gopinath, Xiongyi Cui, Jonathan A. DeCastro, Emily Sumner, Jean Costa, Hiroshi Yasuda, Allison Morgan, Laporsha Dees, Sheryl Chau, John J. Leonard, Tiffany L. Chen, Guy Rosman, Avinash Balachandran
2024	Misc	`conf`	Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing. CoRL Jonathan A. DeCastro, Andrew Silva, Deepak E. Gopinath, Emily Sumner, Thomas Matrai Balch, Laporsha Dees, Guy Rosman
2024	J	`jnl`	Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing. CoRR Jonathan A. DeCastro, Andrew Silva, Deepak E. Gopinath, Emily Sumner, Thomas Matrai Balch, Laporsha Dees, Guy Rosman
2024	—	`conf`	Incorporating Logic in Online Preference Learning for Safe Personalization of Autonomous Vehicles. HSCC Ruya Karagulle, Necmiye Ozay, Nikos Aréchiga, Jonathan A. DeCastro, Andrew Best
2024	J	`jnl`	Personalizing Driver Safety Interfaces via Driver Cognitive Factors Inference. CoRR 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
2024	J	`jnl`	Think Deep and Fast: Learning Neural Nonlinear Opinion Dynamics from Inverse Dynamic Games for Split-Second Interactions. CoRR Haimin Hu, Jonathan A. DeCastro, Deepak E. Gopinath, Guy Rosman, Naomi Ehrich Leonard, Jaime Fernández Fisac
2023	J	`jnl`	A Preference Learning Approach to Develop Safe and Personalizable Autonomous Vehicles. CoRR Ruya Karagulle, Nikos Aréchiga, Andrew Best, Jonathan A. DeCastro, Necmiye Ozay
2023	J	`jnl`	GAME-UP: Game-Aware Mode Enumeration and Understanding for Trajectory Prediction. CoRR 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
2023	—	`conf`	Poster Abstract: Safety Guaranteed Preference Learning Approach for Autonomous Vehicles. HSCC Ruya Karagulle, Nikos Aréchiga, Andrew Best, Jonathan A. DeCastro, Necmiye Ozay
2023	J	`jnl`	Specification-Guided Data Aggregation for Semantically Aware Imitation Learning. CoRR Ameesh Shah, Jonathan A. DeCastro, John Gideon, Beyazit Yalcinkaya, Guy Rosman, Sanjit A. Seshia
2022	A*	`conf`	Analyzing Multiagent Interactions in Traffic Scenes via Topological Braids. ICRA Christoforos I. Mavrogiannis, Jonathan A. DeCastro, Siddhartha S. Srinivasa
2022	—	`conf`	Classification of Driving Behaviors Using STL Formulas: A Comparative Study. FORMATS Ruya Karagulle, Nikos Aréchiga, Jonathan A. DeCastro, Necmiye Ozay
2022	—	`conf`	HMIway-env: A Framework for Simulating Behaviors and Preferences to Support Human-AI Teaming in Driving. CVPR Workshops Deepak E. Gopinath, Jonathan A. DeCastro, Guy Rosman, Emily Sumner, Allison Morgan, Shabnam Hakimi, Simon Stent
2022	C	`conf`	Implicit Multiagent Coordination at Uncontrolled Intersections via Topological Braids. WAFR Christoforos I. Mavrogiannis, Jonathan A. DeCastro, Siddhartha S. Srinivasa
2022	J	`jnl`	Learning Latent Traits for Simulated Cooperative Driving Tasks. CoRR Jonathan A. DeCastro, Deepak E. Gopinath, Guy Rosman, Emily Sumner, Shabnam Hakimi, Simon Stent
2022	—	`conf`	Outlier-robust Inverse Reinforcement Learning and Reward-based Detection of Anomalous Driving Behaviors. ITSC Dan Li, Mohamad Louai Shehab, Zexiang Liu, Nikos Aréchiga, Jonathan A. DeCastro, Necmiye Ozay
2021	J	`jnl`	Analyzing Multiagent Interactions in Traffic Scenes via Topological Braids. CoRR Christoforos I. Mavrogiannis, Jonathan A. DeCastro, Siddhartha S. Srinivasa
2021	J	`jnl`	CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy. IEEE Robotics Autom. Lett. Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Luke Fletcher, John J. Leonard, Brian C. Williams, Guy Rosman
2021	Misc	`conf`	Learning A Risk-Aware Trajectory Planner From Demonstrations Using Logic Monitor. CoRL Xiao Li, Jonathan A. DeCastro, Cristian Ioan Vasile, Sertac Karaman, Daniela Rus
2021	A*	`conf`	The Logical Options Framework. ICML Brandon Araki, Xiao Li, Kiran Vodrahalli, Jonathan A. DeCastro, Micah J. Fry, Daniela Rus
2021	J	`jnl`	The Logical Options Framework. CoRR Brandon Araki, Xiao Li, Kiran Vodrahalli, Jonathan A. DeCastro, Micah J. Fry, Daniela Rus
2021	J	`jnl`	Vehicle Trajectory Prediction Using Generative Adversarial Network With Temporal Logic Syntax Tree Features. IEEE Robotics Autom. Lett. Xiao Li, Guy Rosman, Igor Gilitschenski, Cristian Ioan Vasile, Jonathan A. DeCastro, Sertac Karaman, Daniela Rus
2020	A	`conf`	Behaviorally Diverse Traffic Simulation via Reinforcement Learning. IROS Shinya Shiroshita, Shirou Maruyama, Daisuke Nishiyama, Mario Ynocente Castro, Karim Hamzaoui, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon
2020	J	`jnl`	Behaviorally Diverse Traffic Simulation via Reinforcement Learning. CoRR Shinya Shiroshita, Shirou Maruyama, Daisuke Nishiyama, Mario Ynocente Castro, Karim Hamzaoui, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon
2020	J	`jnl`	CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy. CoRR Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman
2020	Misc	`conf`	Differentiable Logic Layer for Rule Guided Trajectory Prediction. CoRL Xiao Li, Guy Rosman, Igor Gilitschenski, Jonathan A. DeCastro, Cristian Ioan Vasile, Sertac Karaman, Daniela Rus
2020	—	`conf`	Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation. ITSC Daisuke Nishiyama, Mario Ynocente Castro, Shirou Maruyama, Shinya Shiroshita, Karim Hamzaoui, Yi Ouyang, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon
2020	J	`jnl`	Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation. CoRR Daisuke Nishiyama, Mario Ynocente Castro, Shirou Maruyama, Shinya Shiroshita, Karim Hamzaoui, Yi Ouyang, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon
2020	J	`jnl`	DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. IEEE Robotics Autom. Lett. Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Luke Fletcher, John J. Leonard, Brian C. Williams, Guy Rosman
2020	J	`jnl`	Implicit Multi-Agent Coordination at Unsignalized Intersections via Topological Inference. CoRR Christoforos I. Mavrogiannis, Jonathan A. DeCastro, Siddhartha S. Srinivasa
2020	—	`conf`	Interpretable Policies from Formally-Specified Temporal Properties. ITSC Jonathan A. DeCastro, Karen Leung, Nikos Aréchiga, Marco Pavone
2019	J	`jnl`	Better AI through Logical Scaffolding. CoRR Nikos Aréchiga, Jonathan A. DeCastro, Soonho Kong, Karen Leung
2019	J	`jnl`	Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. CoRR Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman
2018	C	`conf`	Counterexample-Guided Safety Contracts for Autonomous Driving. WAFR Jonathan A. DeCastro, Lucas Liebenwein, Cristian Ioan Vasile, Russ Tedrake, Sertac Karaman, Daniela Rus
2018	J	`jnl`	Reactive mission and motion planning with deadlock resolution avoiding dynamic obstacles. Auton. Robots Javier Alonso-Mora, Jonathan A. DeCastro, Vasumathi Raman, Daniela Rus, Hadas Kress-Gazit
2017	J	`jnl`	Automated generation of dynamics-based runtime certificates for high-level control. Discret. Event Dyn. Syst. Jonathan A. DeCastro, Rüdiger Ehlers, Matthias Rungger, Ayca Balkan, Hadas Kress-Gazit
2017	C	`conf`	Compositional and Contract-Based Verification for Autonomous Driving on Road Networks. ISRR Lucas Liebenwein, Wilko Schwarting, Cristian Ioan Vasile, Jonathan A. DeCastro, Javier Alonso-Mora, Sertac Karaman, Daniela Rus
2016	—	`conf`	Nonlinear Controller Synthesis and Automatic Workspace Partitioning for Reactive High-Level Behaviors. HSCC Jonathan A. DeCastro, Hadas Kress-Gazit
2015	J	`jnl`	A Recursive Receding Horizon Planning for Unmanned Vehicles. IEEE Trans. Ind. Electron. Bin Zhang, Liang Tang, Jonathan A. DeCastro, Michael J. Roemer, Kai Goebel
2015	—	`conf`	Collision-Free Reactive Mission and Motion Planning for Multi-robot Systems. ISRR (1) Jonathan A. DeCastro, Javier Alonso-Mora, Vasumathi Raman, Daniela Rus, Hadas Kress-Gazit
2015	A*	`conf`	Dynamics-driven adaptive abstraction for reactive high-level mission and motion planning. ICRA Jonathan A. DeCastro, Vasumathi Raman, Hadas Kress-Gazit
2015	J	`jnl`	Synthesis of nonlinear continuous controllers for verifiably correct high-level, reactive behaviors. Int. J. Robotics Res. Jonathan A. DeCastro, Hadas Kress-Gazit
2014	J	`jnl`	Dynamics-Based Reactive Synthesis and Automated Revisions for High-Level Robot Control. CoRR Jonathan A. DeCastro, Rüdiger Ehlers, Matthias Rungger, Ayca Balkan, Paulo Tabuada, Hadas Kress-Gazit
2013	A	`conf`	Guaranteeing reactive high-level behaviors for robots with complex dynamics. IROS Jonathan A. DeCastro, Hadas Kress-Gazit
2013	J	`jnl`	Robust Fault Diagnosis of Aircraft Engines: A Nonlinear Adaptive Estimation-Based Approach. IEEE Trans. Control. Syst. Technol. Xiaodong Zhang, Liang Tang, Jonathan A. DeCastro
2011	—	`conf`	An integrated health and contingency management case study on an autonomous ground robot. ICCA Liang Tang, Bin Zhang, Jonathan A. DeCastro, Eric Hettler