Jonathan A. DeCastro

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 33

Top Topics

Preference Learning

Motion Prediction

Latent Semantic

Autonomous Vehicles

Top Venues

IEEE Robotics Autom. Lett.

Publications

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) (2024)
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)
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 (2024)
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 (2024)
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 (2024)
Ruya Karagulle, Nikos Aréchiga, Andrew Best, Jonathan A. DeCastro, Necmiye Ozay
A Preference Learning Approach to Develop Safe and Personalizable Autonomous Vehicles. CoRR (2023)
Ruya Karagulle, Nikos Aréchiga, Andrew Best, Jonathan A. DeCastro, Necmiye Ozay
Poster Abstract: Safety Guaranteed Preference Learning Approach for Autonomous Vehicles. HSCC (2023)
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 (2023)
Ameesh Shah, Jonathan A. DeCastro, John Gideon, Beyazit Yalcinkaya, Guy Rosman, Sanjit A. Seshia
Specification-Guided Data Aggregation for Semantically Aware Imitation Learning. CoRR (2023)
Jonathan A. DeCastro, Deepak Gopinath, Guy Rosman, Emily Sumner, Shabnam Hakimi, Simon Stent
Learning Latent Traits for Simulated Cooperative Driving Tasks. CoRR (2022)
Christoforos I. Mavrogiannis, Jonathan A. DeCastro, Siddhartha S. Srinivasa
Implicit Multiagent Coordination at Uncontrolled Intersections via Topological Braids. WAFR (2022)
Deepak 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)
Christoforos I. Mavrogiannis, Jonathan A. DeCastro, Siddhartha S. Srinivasa
Analyzing Multiagent Interactions in Traffic Scenes via Topological Braids. ICRA (2022)
Christoforos I. Mavrogiannis, Jonathan A. DeCastro, Siddhartha S. Srinivasa
Analyzing Multiagent Interactions in Traffic Scenes via Topological Braids. CoRR (2021)
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)
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) (2021)
Brandon Araki, Xiao Li, Kiran Vodrahalli, Jonathan A. DeCastro, Micah J. Fry, Daniela Rus
The Logical Options Framework. ICML (2021)
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) (2021)
Brandon Araki, Xiao Li, Kiran Vodrahalli, Jonathan A. DeCastro, Micah J. Fry, Daniela Rus
The Logical Options Framework. CoRR (2021)
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 (2020)
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 (2020)
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)
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)
Christoforos I. Mavrogiannis, Jonathan A. DeCastro, Siddhartha S. Srinivasa
Implicit Multi-Agent Coordination at Unsignalized Intersections via Topological Inference. CoRR (2020)
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 (2020)
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) (2020)
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)
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 (2019)
Jonathan A. DeCastro, Lucas Liebenwein, Cristian Ioan Vasile, Russ Tedrake, Sertac Karaman, Daniela Rus
Counterexample-Guided Safety Contracts for Autonomous Driving. WAFR (2018)
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) (2018)
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) (2017)
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)
Jonathan A. DeCastro, Hadas Kress-Gazit
Nonlinear Controller Synthesis and Automatic Workspace Partitioning for Reactive High-Level Behaviors. HSCC (2016)
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)
Jonathan A. DeCastro, Vasumathi Raman, Hadas Kress-Gazit
Dynamics-driven adaptive abstraction for reactive high-level mission and motion planning. ICRA (2015)
Jonathan A. DeCastro, Hadas Kress-Gazit
Synthesis of nonlinear continuous controllers for verifiably correct high-level, reactive behaviors. Int. J. Robotics Res. 34 (3) (2015)
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 (2014)
Jonathan A. DeCastro, Hadas Kress-Gazit
Guaranteeing reactive high-level behaviors for robots with complex dynamics. IROS (2013)