Chuchu Fan

Orcid: 0000-0003-4671-233X

Affiliations:
  • Massachusetts Institute of Technology, MA, USA
  • University of Illinois at Urbana-Champaign, IL, USA (Ph.D., 2019)


According to our database1, Chuchu Fan authored at least 81 papers between 2013 and 2024.

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Bibliography

2024
Physics-Informed, Safety and Stability Certified Neural Control for Uncertain Networked Microgrids.
IEEE Trans. Smart Grid, January, 2024

Active Disruption Avoidance and Trajectory Design for Tokamak Ramp-downs with Neural Differential Equations and Reinforcement Learning.
CoRR, 2024

PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Preference Alignment.
CoRR, 2024

GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control.
CoRR, 2024

2023
Shield Model Predictive Path Integral: A Computationally Efficient Robust MPC Method Using Control Barrier Functions.
IEEE Robotics Autom. Lett., November, 2023

Signal Temporal Logic Neural Predictive Control.
IEEE Robotics Autom. Lett., November, 2023

Safe Control With Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction Methods for Robotics and Control.
IEEE Trans. Robotics, June, 2023

Model-Free Neural Fault Detection and Isolation for Safe Control.
IEEE Control. Syst. Lett., 2023

Almost-Sure Safety Guarantees of Stochastic Zero-Control Barrier Functions Do Not Hold.
CoRR, 2023

Learning Safe Control for Multi-Robot Systems: Methods, Verification, and Open Challenges.
CoRR, 2023

How to Train Your Neural Control Barrier Function: Learning Safety Filters for Complex Input-Constrained Systems.
CoRR, 2023

Adversarial optimization leads to over-optimistic security-constrained dispatch, but sampling can help.
CoRR, 2023

Scalable Multi-Robot Collaboration with Large Language Models: Centralized or Decentralized Systems?
CoRR, 2023

Learning to Stabilize High-dimensional Unknown Systems Using Lyapunov-guided Exploration.
CoRR, 2023

AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers.
CoRR, 2023

Solving Stabilize-Avoid Optimal Control via Epigraph Form and Deep Reinforcement Learning.
CoRR, 2023

ConBaT: Control Barrier Transformer for Safe Policy Learning.
CoRR, 2023

Shield Model Predictive Path Integral: A Computationally Efficient Robust MPC Approach Using Control Barrier Functions.
CoRR, 2023

Solving Stabilize-Avoid via Epigraph Form Optimal Control using Deep Reinforcement Learning.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Compositional Neural Certificates for Networked Dynamical Systems.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Hybrid Systems Neural Control with Region-of-Attraction Planner.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Enforcing safety for vision-based controllers via Control Barrier Functions and Neural Radiance Fields.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Density Planner: Minimizing Collision Risk in Motion Planning with Dynamic Obstacles using Density-based Reachability.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

NL2TL: Transforming Natural Languages to Temporal Logics using Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Neural Graph Control Barrier Functions Guided Distributed Collision-avoidance Multi-agent Control.
Proceedings of the Conference on Robot Learning, 2023

A Bayesian approach to breaking things: efficiently predicting and repairing failure modes via sampling.
Proceedings of the Conference on Robot Learning, 2023

Neural Network-based Fault Detection and Identification for Quadrotors using Dynamic Symmetry.
Proceedings of the 59th Annual Allerton Conference on Communication, 2023

2022
Controller Synthesis for Linear System With Reach-Avoid Specifications.
IEEE Trans. Autom. Control., 2022

Multi-Agent Motion Planning From Signal Temporal Logic Specifications.
IEEE Robotics Autom. Lett., 2022

Sablas: Learning Safe Control for Black-Box Dynamical Systems.
IEEE Robotics Autom. Lett., 2022

Learning Safe, Generalizable Perception-Based Hybrid Control With Certificates.
IEEE Robotics Autom. Lett., 2022

Barrier functions enable safety-conscious force-feedback control.
CoRR, 2022

Cooperative Task and Motion Planning for Multi-Arm Assembly Systems.
CoRR, 2022

Safe Control with Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction methods.
CoRR, 2022

Certifiable Robot Design Optimization using Differentiable Programming.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Case Studies for Computing Density of Reachable States for Safe Autonomous Motion Planning.
Proceedings of the NASA Formal Methods - 14th International Symposium, 2022

Robust Counterexample-guided Optimization for Planning from Differentiable Temporal Logic.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Statistical Verification of Cyber-Physical Systems using Surrogate Models and Conformal Inference.
Proceedings of the 13th ACM/IEEE International Conference on Cyber-Physical Systems, 2022

Outer-approximating Controlled Reach-avoid Sets for Polynomial Systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

A Meta-framework for Spatiotemporal Quantity Extraction from Text.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Uncertainty-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric.
CoRR, 2021

Uncertain-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Reactive and Safe Road User Simulations using Neural Barrier Certificates.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Density Constrained Reinforcement Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Learning Safe Multi-agent Control with Decentralized Neural Barrier Certificates.
Proceedings of the 9th International Conference on Learning Representations, 2021

Optimal mixed discrete-continuous planning for linear hybrid systems.
Proceedings of the HSCC '21: 24th ACM International Conference on Hybrid Systems: Computation and Control, 2021

Learning Density Distribution of Reachable States for Autonomous Systems.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

A Theoretical Overview of Neural Contraction Metrics for Learning-based Control with Guaranteed Stability.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Planning in Dynamic and Partially Unknown Environments.
Proceedings of the 7th IFAC Conference on Analysis and Design of Hybrid Systems, 2021

Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Reactive motion planning with probabilistic safety guarantees.
CoRR, 2020

Parameter Searching and Partition with Probabilistic Coverage Guarantees.
CoRR, 2020

Multi-agent Safety Verification Using Symmetry Transformations.
Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2020

Learning Certified Control Using Contraction Metric.
Proceedings of the 4th Conference on Robot Learning, 2020

Reactive motion planning with probabilisticsafety guarantees.
Proceedings of the 4th Conference on Robot Learning, 2020

Fast and Guaranteed Safe Controller Synthesis for Nonlinear Vehicle Models.
Proceedings of the Computer Aided Verification - 32nd International Conference, 2020

2019
Formal methods for safe autonomy: Data-driven verification, synthesis, and applications
PhD thesis, 2019

Partial Or Complete, That's The Question.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018
Simulation-Driven Reachability Using Matrix Measures.
ACM Trans. Embed. Comput. Syst., 2018

Data-Driven Formal Reasoning and Their Applications in Safety Analysis of Vehicle Autonomy Features.
IEEE Des. Test, 2018

Exploiting Partially Annotated Data in Temporal Relation Extraction.
Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018

DryVR 2.0: A tool for verification and controller synthesis of black-box cyber-physical systems.
Proceedings of the 21st International Conference on Hybrid Systems: Computation and Control (part of CPS Week), 2018

Approximate Partial Order Reduction.
Proceedings of the Formal Methods - 22nd International Symposium, 2018

Controller Synthesis Made Real: Reach-Avoid Specifications and Linear Dynamics.
Proceedings of the Computer Aided Verification - 30th International Conference, 2018

ARCH-COMP18 Category Report: Continuous and Hybrid Systems with Nonlinear Dynamics.
Proceedings of the ARCH18. 5th International Workshop on Applied Verification of Continuous and Hybrid Systems, 2018

Verifying nonlinear analog and mixed-signal circuits with inputs.
Proceedings of the 6th IFAC Conference on Analysis and Design of Hybrid Systems, 2018

ARCH-COMP18 Category Report: Continuous and Hybrid Systems with Linear Continuous Dynamics.
Proceedings of the ARCH18. 5th International Workshop on Applied Verification of Continuous and Hybrid Systems, 2018

2017
Road to safe autonomy with data and formal reasoning.
CoRR, 2017

DryVR: Data-Driven Verification and Compositional Reasoning for Automotive Systems.
Proceedings of the Computer Aided Verification - 29th International Conference, 2017

2016
Locally optimal reach set over-approximation for nonlinear systems.
Proceedings of the 2016 International Conference on Embedded Software, 2016

Automatic Reachability Analysis for Nonlinear Hybrid Models with C2E2.
Proceedings of the Computer Aided Verification - 28th International Conference, 2016

Tutorial: Software tools for hybrid systems verification, transformation, and synthesis: C2E2, HyST, and TuLiP.
Proceedings of the 2016 IEEE Conference on Control Applications, 2016

2015
Simulation-Based Verification of Cardiac Pacemakers With Guaranteed Coverage.
IEEE Des. Test, 2015

Model Checking Tap Withdrawal in C. Elegans.
Proceedings of the Hybrid Systems Biology - Fourth International Workshop, 2015

Progress on Powertrain Verification Challenge with C2E2.
Proceedings of the 1st and 2nd International Workshop on Applied veRification for Continuous and Hybrid Systems, 2015

Meeting a Powertrain Verification Challenge.
Proceedings of the Computer Aided Verification - 27th International Conference, 2015

Bounded Verification with On-the-Fly Discrepancy Computation.
Proceedings of the Automated Technology for Verification and Analysis, 2015

2014
Invariant Verification of Nonlinear Hybrid Automata Networks of Cardiac Cells.
Proceedings of the Computer Aided Verification - 26th International Conference, 2014

2013
Image Super-Resolution Via Analysis Sparse Prior.
IEEE Signal Process. Lett., 2013


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