Reachability-based safe learning with Gaussian processes. - Anayo K. Akametalu; Shahab Kaynama; Jaime F. Fisac; Melanie Nicole Zeilinger; Jeremy H. Gillula; Claire J. Tomlin (CDC, 2014)

Safe platooning of unmanned aerial vehicles via reachability. - Mo Chen 001; Qie Hu; Casey Mackin; Jaime F. Fisac; Claire J. Tomlin (CDC, 2015)

The pursuit-evasion-defense differential game in dynamic constrained environments. - Jaime F. Fisac; S. Shankar Sastry (CDC, 2015)

Safe sequential path planning of multi-vehicle systems via double-obstacle Hamilton-Jacobi-Isaacs variational inequality. - Mo Chen 001; Jaime F. Fisac; Shankar Sastry 001; Claire J. Tomlin (ECC, 2015)

Reach-avoid problems with time-varying dynamics, targets and constraints. - Jaime F. Fisac; Mo Chen 001; Claire J. Tomlin; S. Shankar Sastry (HSCC, 2015)

Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration. - Chang Liu 002; Jessica B. Hamrick; Jaime F. Fisac; Anca D. Dragan; J. Karl Hedrick; S. Shankar Sastry; Thomas L. Griffiths 001 (AAMAS, 2016)

Generating Plans that Predict Themselves. - Jaime F. Fisac; Chang Liu 002; Jessica B. Hamrick; Shankar Sastry 001; J. Karl Hedrick; Thomas L. Griffiths 001; Anca D. Dragan (WAFR, 2016)

Safe Sequential Path Planning of Multi-Vehicle Systems Under Presence of Disturbances and Imperfect Information. - Somil Bansal; Mo Chen 001; Jaime F. Fisac; Claire J. Tomlin (CoRR, 2016)

Robust Sequential Path Planning Under Disturbances and Adversarial Intruder. - Mo Chen 001; Somil Bansal; Jaime F. Fisac; Claire J. Tomlin (CoRR, 2016)

Guaranteeing Safety and Liveness of Unmanned Aerial Vehicle Platoons on Air Highways. - Mo Chen 001; Qie Hu; Jaime F. Fisac; Anayo K. Akametalu; Casey Mackin; Claire J. Tomlin (CoRR, 2016)

Safe sequential path planning under disturbances and imperfect information. - Somil Bansal; Mo Chen 001; Jaime F. Fisac; Claire J. Tomlin (ACC, 2017)

FaSTrack: A modular framework for fast and guaranteed safe motion planning. - Sylvia L. Herbert; Mo Chen 001; SooJean Han; Somil Bansal; Jaime F. Fisac; Claire J. Tomlin (CDC, 2017)

Pragmatic-Pedagogic Value Alignment. - Jaime F. Fisac; Monica A. Gates; Jessica B. Hamrick; Chang Liu 002; Dylan Hadfield-Menell; Malayandi Palaniappan; Dhruv Malik; S. Shankar Sastry; Thomas L. Griffiths 001; Anca D. Dragan (ISRR, 2017)

Learning under Misspecified Objective Spaces. - Andreea Bobu; Andrea Bajcsy; Jaime F. Fisac; Anca D. Dragan (CoRL, 2018)

An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning. - Dhruv Malik; Malayandi Palaniappan; Jaime F. Fisac; Dylan Hadfield-Menell; Stuart Russell 001; Anca D. Dragan (ICML, 2018)

Planning, Fast and Slow: A Framework for Adaptive Real-Time Safe Trajectory Planning. - David Fridovich-Keil; Sylvia L. Herbert; Jaime F. Fisac; Sampada Deglurkar; Claire J. Tomlin (ICRA, 2018)

Probabilistically Safe Robot Planning with Confidence-Based Human Predictions. - Jaime F. Fisac; Andrea Bajcsy; Sylvia L. Herbert; David Fridovich-Keil; Steven Wang; Claire J. Tomlin; Anca D. Dragan (Robotics: Science and Systems, 2018)

A Minimum Discounted Reward Hamilton-Jacobi Formulation for Computing Reachable Sets. - Anayo K. Akametalu; Shromona Ghosh; Jaime F. Fisac; Claire J. Tomlin (CoRR, 2018)

Safe and Complete Real-Time Planning and Exploration in Unknown Environments. - David Fridovich-Keil; Jaime F. Fisac; Claire J. Tomlin (CoRR, 2018)

A Risk-Sensitive Finite-Time Reachability Approach for Safety of Stochastic Dynamic Systems. - Margaret P. Chapman; Jonathan Lacotte; Aviv Tamar; Donggun Lee; Kevin M. Smith; Victoria Cheng; Jaime F. Fisac; Susmit Jha; Marco Pavone 001; Claire J. Tomlin (ACC, 2019)

Human-robot interaction for truck platooning using hierarchical dynamic games. - Elis Stefansson; Jaime F. Fisac; Dorsa Sadigh; S. Shankar Sastry; Karl Henrik Johansson (ECC, 2019)

A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision Avoidance. - Andrea Bajcsy; Sylvia L. Herbert; David Fridovich-Keil; Jaime F. Fisac; Sampada Deglurkar; Anca D. Dragan; Claire J. Tomlin (ICRA, 2019)

Hierarchical Game-Theoretic Planning for Autonomous Vehicles. - Jaime F. Fisac; Eli Bronstein; Elis Stefansson; Dorsa Sadigh; S. Shankar Sastry; Anca D. Dragan (ICRA, 2019)

Bridging Hamilton-Jacobi Safety Analysis and Reinforcement Learning. - Jaime F. Fisac; Neil F. Lugovoy; Vicenc Rubies-Royo; Shromona Ghosh; Claire J. Tomlin (ICRA, 2019)

Safely Probabilistically Complete Real-Time Planning and Exploration in Unknown Environments. - David Fridovich-Keil; Jaime F. Fisac; Claire J. Tomlin (ICRA, 2019)

A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems. - Jaime F. Fisac; Anayo K. Akametalu; Melanie N. Zeilinger; Shahab Kaynama; Jeremy H. Gillula; Claire J. Tomlin (IEEE Trans. Autom. Control., 2019)

Robust Sequential Trajectory Planning Under Disturbances and Adversarial Intruder. - Mo Chen 001; Somil Bansal; Jaime F. Fisac; Claire J. Tomlin (IEEE Trans. Control. Syst. Technol., 2019)

LESS is More: Rethinking Probabilistic Models of Human Behavior. - Andreea Bobu; Dexter R. R. Scobee; Jaime F. Fisac; S. Shankar Sastry; Anca D. Dragan (HRI, 2020)

Confidence-aware motion prediction for real-time collision avoidance1. - David Fridovich-Keil; Andrea Bajcsy; Jaime F. Fisac; Sylvia L. Herbert; Steven Wang; Anca D. Dragan; Claire J. Tomlin (Int. J. Robotics Res., 2020)

Quantifying Hypothesis Space Misspecification in Learning From Human-Robot Demonstrations and Physical Corrections. - Andreea Bobu; Andrea Bajcsy; Jaime F. Fisac; Sampada Deglurkar; Anca D. Dragan (IEEE Trans. Robotics, 2020)

Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning. - Kai-Chieh Hsu; Vicenc Rubies-Royo; Claire J. Tomlin; Jaime F. Fisac (Robotics: Science and Systems, 2021)

Safe Occlusion-Aware Autonomous Driving via Game-Theoretic Active Perception. - Zixu Zhang; Jaime F. Fisac (Robotics: Science and Systems, 2021)

Back to the Future: Efficient, Time-Consistent Solutions in Reach-Avoid Games. - Dennis R. Anthony; David Fridovich-Keil; Jaime F. Fisac (CoRR, 2021)

ProBF: Learning Probabilistic Safety Certificates with Barrier Functions. - Athindran Ramesh Kumar; Sulin Liu; Jaime F. Fisac; Ryan P. Adams; Peter J. Ramadge (CoRR, 2021)

FaSTrack: A Modular Framework for Real-Time Motion Planning and Guaranteed Safe Tracking. - Mo Chen 001; Sylvia L. Herbert; Haimin Hu; Ye Pu; Jaime Fernández Fisac; Somil Bansal; SooJean Han; Claire J. Tomlin (IEEE Trans. Autom. Control., 2021)

Back to the Future: Efficient, Time-Consistent Solutions in Reach-Avoid Games. - Dennis R. Anthony; Duy Phuong Nguyen; David Fridovich-Keil; Jaime F. Fisac (ICRA, 2022)

Active Uncertainty Reduction for Human-Robot Interaction: An Implicit Dual Control Approach. - Haimin Hu; Jaime F. Fisac (WAFR, 2022)

Active Uncertainty Learning for Human-Robot Interaction: An Implicit Dual Control Approach. - Haimin Hu; Jaime F. Fisac (CoRR, 2022)

SHARP: Shielding-Aware Robust Planning for Safe and Efficient Human-Robot Interaction. - Haimin Hu; Kensuke Nakamura 002; Jaime F. Fisac (IEEE Robotics Autom. Lett., 2022)

Learning Rationality in Potential Games. - Stefan Clarke; Gabriele Dragotto; Jaime Fernández Fisac; Bartolomeo Stellato (CDC, 2023)

Emergent Coordination Through Game-Induced Nonlinear Opinion Dynamics. - Haimin Hu; Kensuke Nakamura 002; Kai-Chieh Hsu; Naomi Ehrich Leonard; Jaime Fernández Fisac (CDC, 2023)

Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy. - Haimin Hu; Zixu Zhang; Kensuke Nakamura 002; Andrea Bajcsy; Jaime Fernández Fisac (CoRL, 2023)

AIMED: AI-Mediated Exploration of Design: An Experience Report. - Sanjai Narain; Dana Chee; Pranav Iyer; Emily Mak; Ricardo Valdez; Manli Zhu; Niraj K. Jha; Jaime F. Fisac; Kai-Chieh Hsu; Prerit Terway; Kishore Pochiraju; Brendan J. Englot; et al. (CPS-IoT Week Workshops, 2023)

Interpretable Trajectory Prediction for Autonomous Vehicles via Counterfactual Responsibility. - Kai-Chieh Hsu; Karen Leung; Yuxiao Chen 008; Jaime F. Fisac; Marco Pavone 001 (IROS, 2023)

ISAACS: Iterative Soft Adversarial Actor-Critic for Safety. - Kai-Chieh Hsu; Duy Phuong Nguyen; Jaime Fernández Fisac (L4DC, 2023)

Sim-to-Lab-to-Real: Safe reinforcement learning with shielding and generalization guarantees. - Kai-Chieh Hsu; Allen Z. Ren; Duy Phuong Nguyen; Anirudha Majumdar; Jaime F. Fisac (Artif. Intell., 2023)

Learning-Aware Safety for Interactive Autonomy. - Haimin Hu; Zixu Zhang; Kensuke Nakamura 002; Andrea Bajcsy; Jaime F. Fisac (CoRR, 2023)

Fast, Smooth, and Safe: Implicit Control Barrier Functions Through Reach-Avoid Differential Dynamic Programming. - Athindran Ramesh Kumar; Kai-Chieh Hsu; Peter J. Ramadge; Jaime F. Fisac (IEEE Control. Syst. Lett., 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees (Abstract Reprint). - Kai-Chieh Hsu; Allen Z. Ren; Duy Phuong Nguyen; Anirudha Majumdar; Jaime F. Fisac (AAAI, 2024)

Gameplay Filters: Robust Zero-Shot Safety through Adversarial Imagination. - Duy Phuong Nguyen; Kai-Chieh Hsu; Wenhao Yu 003; Jie Tan 001; Jaime Fernández Fisac (CoRL, 2024)

Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity. - Kaiqu Liang; Zixu Zhang; Jaime F. Fisac (NeurIPS, 2024)

Who Plays First? Optimizing the Order of Play in Stackelberg Games with Many Robots. - Haimin Hu; Gabriele Dragotto; Zixu Zhang; Kaiqu Liang; Bartolomeo Stellato; Jaime Fernández Fisac (Robotics: Science and Systems, 2024)

Blending Data-Driven Priors in Dynamic Games. - Justin Lidard; Haimin Hu; Asher Hancock; Zixu Zhang; Albert Gimó Contreras; Vikash Modi; Jonathan A. DeCastro; Deepak Edakkattil Gopinath; Guy Rosman; Naomi Ehrich Leonard; Maria Santos 003; Jaime Fernández Fisac (Robotics: Science and Systems, 2024)

The Safety Filter: A Unified View of Safety-Critical Control in Autonomous Systems. - Kai-Chieh Hsu; Haimin Hu; Jaime F. Fisac (Annu. Rev. Control. Robotics Auton. Syst., 2024)

Introspective Planning: Guiding Language-Enabled Agents to Refine Their Own Uncertainty. - Kaiqu Liang; Zixu Zhang; Jaime Fernández Fisac (CoRR, 2024)

Versatile Scene-Consistent Traffic Scenario Generation as Optimization with Diffusion. - Zhiyu Huang; Zixu Zhang; Ameya Vaidya; Yuxiao Chen 008; Chen Lv; Jaime Fernández Fisac (CoRR, 2024)

Gameplay Filters: Safe Robot Walking through Adversarial Imagination. - Duy Phuong Nguyen; Kai-Chieh Hsu; Wenhao Yu 003; Jie Tan 001; Jaime F. Fisac (CoRR, 2024)

Human-AI Safety: A Descendant of Generative AI and Control Systems Safety. - Andrea Bajcsy; Jaime F. Fisac (CoRR, 2024)

Think Deep and Fast: Learning Neural Nonlinear Opinion Dynamics from Inverse Dynamic Games for Split-Second Interactions. - Haimin Hu; Jonathan A. DeCastro; Deepak E. Gopinath; Guy Rosman; Naomi Ehrich Leonard; Jaime Fernández Fisac (CoRR, 2024)

MAGICS: Adversarial RL with Minimax Actors Guided by Implicit Critic Stackelberg for Convergent Neural Synthesis of Robot Safety. - Justin Wang; Haimin Hu; Duy Phuong Nguyen; Jaime Fernández Fisac (CoRR, 2024)

Active uncertainty reduction for safe and efficient interaction planning: A shielding-aware dual control approach. - Haimin Hu; David Isele; Sangjae Bae; Jaime F. Fisac (Int. J. Robotics Res., 2024)

A Minimum Discounted Reward Hamilton-Jacobi Formulation for Computing Reachable Sets. - Anayo K. Akametalu; Shromona Ghosh; Jaime F. Fisac; Vicenc Rubies-Royo; Claire J. Tomlin (IEEE Trans. Autom. Control., 2024)

RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation. - Kaiqu Liang; Haimin Hu; Ryan Liu 001; Thomas L. Griffiths 001; Jaime Fernández Fisac (CoRR, 2025)

Safety with Agency: Human-Centered Safety Filter with Application to AI-Assisted Motorsports. - 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 (CoRR, 2025)

Machine Bullshit: Characterizing the Emergent Disregard for Truth in Large Language Models. - Kaiqu Liang; Haimin Hu; Xuandong Zhao; Dawn Song; Thomas L. Griffiths 001; Jaime Fernández Fisac (CoRR, 2025)