Jaime Fernández Fisac

Orcid: 0000-0002-2676-5090

Affiliations:
  • Princeton University, Princeton, NJ, USA
  • University of California, Berkeley, CA, USA (former)


According to our database1, Jaime Fernández Fisac authored at least 55 papers between 2014 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A Minimum Discounted Reward Hamilton-Jacobi Formulation for Computing Reachable Sets.
IEEE Trans. Autom. Control., February, 2024

Blending Data-Driven Priors in Dynamic Games.
CoRR, 2024

Who Plays First? Optimizing the Order of Play in Stackelberg Games with Many Robots.
CoRR, 2024

Introspective Planning: Guiding Language-Enabled Agents to Refine Their Own Uncertainty.
CoRR, 2024

The Safety Filter: A Unified View of Safety-Critical Control in Autonomous Systems.
Annu. Rev. Control. Robotics Auton. Syst., 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
Fast, Smooth, and Safe: Implicit Control Barrier Functions Through Reach-Avoid Differential Dynamic Programming.
IEEE Control. Syst. Lett., 2023

Learning-Aware Safety for Interactive Autonomy.
CoRR, 2023

Active Uncertainty Reduction for Safe and Efficient Interaction Planning: A Shielding-Aware Dual Control Approach.
CoRR, 2023

Sim-to-Lab-to-Real: Safe reinforcement learning with shielding and generalization guarantees.
Artif. Intell., 2023

ISAACS: Iterative Soft Adversarial Actor-Critic for Safety.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Interpretable Trajectory Prediction for Autonomous Vehicles via Counterfactual Responsibility.
IROS, 2023

AIMED: AI-Mediated Exploration of Design: An Experience Report.
Proceedings of Cyber-Physical Systems and Internet of Things Week 2023, 2023

Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy.
Proceedings of the Conference on Robot Learning, 2023

Emergent Coordination Through Game-Induced Nonlinear Opinion Dynamics.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Learning Rationality in Potential Games.
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

Back to the Future: Efficient, Time-Consistent Solutions in Reach-Avoid Games.
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

ProBF: Learning Probabilistic Safety Certificates with Barrier Functions.
CoRR, 2021

Back to the Future: Efficient, Time-Consistent Solutions in Reach-Avoid Games.
CoRR, 2021

Safe Occlusion-Aware Autonomous Driving via Game-Theoretic Active Perception.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning.
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

Confidence-aware motion prediction for real-time collision avoidance<sup>1</sup>.
Int. J. Robotics Res., 2020

LESS is More: Rethinking Probabilistic Models of Human Behavior.
Proceedings of the HRI '20: ACM/IEEE International Conference on Human-Robot Interaction, 2020

2019
Robust Sequential Trajectory Planning Under Disturbances and Adversarial Intruder.
IEEE Trans. Control. Syst. Technol., 2019

A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems.
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

Bridging Hamilton-Jacobi Safety Analysis and Reinforcement Learning.
Proceedings of the International Conference on Robotics and Automation, 2019

Hierarchical Game-Theoretic Planning for Autonomous Vehicles.
Proceedings of the International Conference on Robotics and Automation, 2019

A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision Avoidance.
Proceedings of the International Conference on Robotics and Automation, 2019

Human-robot interaction for truck platooning using hierarchical dynamic games.
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
Safe and Complete Real-Time Planning and Exploration in Unknown Environments.
CoRR, 2018

A Minimum Discounted Reward Hamilton-Jacobi Formulation for Computing Reachable Sets.
CoRR, 2018

Probabilistically Safe Robot Planning with Confidence-Based Human Predictions.
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

Learning under Misspecified Objective Spaces.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017
Pragmatic-Pedagogic Value Alignment.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

FaSTrack: A modular framework for fast and guaranteed safe motion planning.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Safe sequential path planning under disturbances and imperfect information.
Proceedings of the 2017 American Control Conference, 2017

2016
Guaranteeing Safety and Liveness of Unmanned Aerial Vehicle Platoons on Air Highways.
CoRR, 2016

Robust Sequential Path Planning Under Disturbances and Adversarial Intruder.
CoRR, 2016

Safe Sequential Path Planning of Multi-Vehicle Systems Under Presence of Disturbances and Imperfect Information.
CoRR, 2016

Generating Plans that Predict Themselves.
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
Reach-avoid problems with time-varying dynamics, targets and constraints.
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

The pursuit-evasion-defense differential game in dynamic constrained environments.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Safe platooning of unmanned aerial vehicles via reachability.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Reachability-based safe learning with Gaussian processes.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014


  Loading...