Jaime Fernández Fisac
Orcid: 0000-0002-2676-5090Affiliations:
- Princeton University, Princeton, NJ, USA
- University of California, Berkeley, CA, USA (former)
According to our database1,
Jaime Fernández Fisac
authored at least 63 papers
between 2014 and 2025.
Collaborative distances:
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Bibliography
2025
2024
A Minimum Discounted Reward Hamilton-Jacobi Formulation for Computing Reachable Sets.
IEEE Trans. Autom. Control., February, 2024
Active uncertainty reduction for safe and efficient interaction planning: A shielding-aware dual control approach.
Int. J. Robotics Res., 2024
MAGICS: Adversarial RL with Minimax Actors Guided by Implicit Critic Stackelberg for Convergent Neural Synthesis of Robot Safety.
CoRR, 2024
Think Deep and Fast: Learning Neural Nonlinear Opinion Dynamics from Inverse Dynamic Games for Split-Second Interactions.
CoRR, 2024
CoRR, 2024
Versatile Scene-Consistent Traffic Scenario Generation as Optimization with Diffusion.
CoRR, 2024
Introspective Planning: Guiding Language-Enabled Agents to Refine Their Own Uncertainty.
CoRR, 2024
Annu. Rev. Control. Robotics Auton. Syst., 2024
Proceedings of the Robotics: Science and Systems XX, 2024
Proceedings of the Robotics: Science and Systems XX, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees (Abstract Reprint).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
Trans. Mach. Learn. Res., 2023
Fast, Smooth, and Safe: Implicit Control Barrier Functions Through Reach-Avoid Differential Dynamic Programming.
IEEE Control. Syst. Lett., 2023
Sim-to-Lab-to-Real: Safe reinforcement learning with shielding and generalization guarantees.
Artif. Intell., 2023
Proceedings of the Learning for Dynamics and Control Conference, 2023
Interpretable Trajectory Prediction for Autonomous Vehicles via Counterfactual Responsibility.
IROS, 2023
Proceedings of Cyber-Physical Systems and Internet of Things Week 2023, 2023
Proceedings of the Conference on Robot Learning, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
SHARP: Shielding-Aware Robust Planning for Safe and Efficient Human-Robot Interaction.
IEEE Robotics Autom. Lett., 2022
Active Uncertainty Learning for Human-Robot Interaction: An Implicit Dual Control Approach.
CoRR, 2022
Active Uncertainty Reduction for Human-Robot Interaction: An Implicit Dual Control Approach.
Proceedings of the Algorithmic Foundations of Robotics XV, 2022
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
2021
FaSTrack: A Modular Framework for Real-Time Motion Planning and Guaranteed Safe Tracking.
IEEE Trans. Autom. Control., 2021
CoRR, 2021
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021
2020
Quantifying Hypothesis Space Misspecification in Learning From Human-Robot Demonstrations and Physical Corrections.
IEEE Trans. Robotics, 2020
Int. J. Robotics Res., 2020
Proceedings of the HRI '20: ACM/IEEE International Conference on Human-Robot Interaction, 2020
2019
IEEE Trans. Control. Syst. Technol., 2019
IEEE Trans. Autom. Control., 2019
Safely Probabilistically Complete Real-Time Planning and Exploration in Unknown Environments.
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the 17th European Control Conference, 2019
A Risk-Sensitive Finite-Time Reachability Approach for Safety of Stochastic Dynamic Systems.
Proceedings of the 2019 American Control Conference, 2019
2018
CoRR, 2018
A Minimum Discounted Reward Hamilton-Jacobi Formulation for Computing Reachable Sets.
CoRR, 2018
Proceedings of the Robotics: Science and Systems XIV, 2018
Planning, Fast and Slow: A Framework for Adaptive Real-Time Safe Trajectory Planning.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 2nd Annual Conference on Robot Learning, 2018
2017
Proceedings of the Robotics Research, The 18th International Symposium, 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Proceedings of the 2017 American Control Conference, 2017
2016
Guaranteeing Safety and Liveness of Unmanned Aerial Vehicle Platoons on Air Highways.
CoRR, 2016
CoRR, 2016
Safe Sequential Path Planning of Multi-Vehicle Systems Under Presence of Disturbances and Imperfect Information.
CoRR, 2016
Proceedings of the Algorithmic Foundations of Robotics XII, 2016
Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration.
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016
2015
Proceedings of the 18th International Conference on Hybrid Systems: Computation and Control, 2015
Safe sequential path planning of multi-vehicle systems via double-obstacle Hamilton-Jacobi-Isaacs variational inequality.
Proceedings of the 14th European Control Conference, 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014