DeepReach: A Deep Learning Approach to High-Dimensional Reachability

4 November 2020

Papers citing "DeepReach: A Deep Learning Approach to High-Dimensional Reachability"

50 / 95 papers shown

Title
How to Train Your Latent Control Barrier Function: Smooth Safety Filtering Under Hard-to-Model Constraints Kensuke Nakamura Arun L. Bishop Steven Man Aaron M. Johnson Zachary Manchester Andrea V. Bajcsy 16 0 0 23 Nov 2025
Statistically Assuring Safety of Control Systems using Ensembles of Safety Filters and Conformal Prediction Ihab Tabbara Yuxuan Yang Hussein Sibai 77 0 0 11 Nov 2025
Manifold-constrained Hamilton-Jacobi Reachability Learning for Decentralized Multi-Agent Motion Planning Qingyi Chen Ruiqi Ni Jun Kim A. H. Qureshi 68 0 0 05 Nov 2025
MADR: MPC-guided Adversarial DeepReach Ryan Teoh S. Tonkens William Sharpless Aijia Yang Zeyuan Feng Somil Bansal Sylvia Herbert 84 0 0 21 Oct 2025
Provably Optimal Reinforcement Learning under Safety Filtering Donggeon David Oh D. Nguyen Haimin Hu J. F. Fisac OffRL 76 0 0 20 Oct 2025
From Refusal to Recovery: A Control-Theoretic Approach to Generative AI Guardrails Ravi Pandya Madison Bland D. Nguyen Changliu Liu J. F. Fisac Andrea V. Bajcsy 86 1 0 15 Oct 2025
MAD-PINN: A Decentralized Physics-Informed Machine Learning Framework for Safe and Optimal Multi-Agent Control Manan Tayal Aditya Singh Shishir Kolathaya Somil Bansal 208 0 0 28 Sep 2025
Preemptive Detection and Steering of LLM Misalignment via Latent Reachability Sathwik Karnik Somil Bansal LLMSV 106 2 0 25 Sep 2025
AnySafe: Adapting Latent Safety Filters at Runtime via Safety Constraint Parameterization in the Latent Space Sankalp Agrawal Junwon Seo Kensuke Nakamura Ran Tian Andrea V. Bajcsy 80 0 0 23 Sep 2025
From Space to Time: Enabling Adaptive Safety with Learned Value Functions via Disturbance Recasting S. Tonkens Nikhil Shinde Azra Begzadić Michael C. Yip Jorge Cortés Sylvia Herbert OffRL 64 1 0 23 Sep 2025
EigenSafe: A Spectral Framework for Learning-Based Stochastic Safety Filtering Inkyu Jang Jonghae Park Chams E. Mballo Sihyun Cho Claire J. Tomlin H. J. Kim 40 0 0 22 Sep 2025
ORN-CBF: Learning Observation-conditioned Residual Neural Control Barrier Functions via Hypernetworks Bojan Derajić Sebastian Bernhard Wolfgang Hönig 95 0 0 20 Sep 2025
Continuous-Time Value Iteration for Multi-Agent Reinforcement Learning Xuefeng Wang Lei Zhang Henglin Pu Ahmed H. Qureshi Husheng Li 121 0 0 11 Sep 2025
Residual Neural Terminal Constraint for MPC-based Collision Avoidance in Dynamic Environments Bojan Derajić Mohamed-Khalil Bouzidi Sebastian Bernhard Wolfgang Hönig 88 1 0 05 Aug 2025
Solving nonconvex Hamilton--Jacobi--Isaacs equations with PINN-based policy iteration Hee Jun Yang Minjung Gim Yeoneung Kim 74 0 0 21 Jul 2025
Test Automation for Interactive Scenarios via Promptable Traffic Simulation Augusto Mondelli Yueshan Li A. Zanardi Emilio Frazzoli 151 1 0 01 Jun 2025
Reachability Barrier Networks: Learning Hamilton-Jacobi Solutions for Smooth and Flexible Control Barrier Functions Matthew Kim William Sharpless Hyun Joe Jeong S. Tonkens Somil Bansal Sylvia Herbert 261 3 0 16 May 2025
Threshold Strategy for Leaking Corner-Free Hamilton-Jacobi Reachability with Decomposed Computations Chong He Mugilan Mariappan Keval Vora Mo Chen 220 0 0 15 May 2025
Resolving Conflicting Constraints in Multi-Agent Reinforcement Learning with Layered Safety Jason J. Choi Jasmine Jerry Aloor Jingqi Li Maria G. Mendoza H. Balakrishnan Claire J. Tomlin 225 6 0 04 May 2025
Bridging Model Predictive Control and Deep Learning for Scalable Reachability Analysis Zeyuan Feng Le Qiu Somil Bansal 146 4 0 04 May 2025
Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures Junwon Seo Kensuke Nakamura Andrea V. Bajcsy 326 8 0 01 May 2025
HJRNO: Hamilton-Jacobi Reachability with Neural Operators Yankai Li Mo Chen 180 0 0 28 Apr 2025
Certified Approximate Reachability (CARe): Formal Error Bounds on Deep Learning of Reachable Sets Prashant Solanki Nikolaus Vertovec Yannik Schnitzer Jasper J. van Beers Coen de Visser Alessandro Abate 139 2 0 31 Mar 2025
SACA: A Scenario-Aware Collision Avoidance Framework for Autonomous Vehicles Integrating LLMs-Driven Reasoning Shiyue Zhao Junzhi Zhang Neda Masoud Heye Huang Xingpeng Xia Chengkun He LRM 336 2 0 31 Mar 2025
Parametric Value Approximation for General-sum Differential Games with State Constraints Lei Zhang Mukesh Ghimire Wenlong Zhang Z. Xu Yi Ren 216 0 0 10 Mar 2025
Learning Nash Equilibrial Hamiltonian for Two-Player Collision-Avoiding InteractionsAmerican Control Conference (ACC), 2025 Lei Zhang Siddharth Das Tanner Merry Wenlong Zhang Yi Ren 260 0 0 10 Mar 2025
Scalable Back-Propagation-Free Training of Optical Physics-Informed Neural Networks Yequan Zhao Xinling Yu Xian Xiao Zhe Chen Ziyue Liu G. Kurczveil R. Beausoleil Shixuan Liu Zheng Zhang 286 1 0 17 Feb 2025
Infinite-Horizon Value Function Approximation for Model Predictive ControlIEEE Robotics and Automation Letters (IEEE RA-L), 2025 Armand Jordana Sébastien Kleff Arthur Haffemayer Joaquim Ortiz de Haro Justin Carpentier Nicolas Mansard Ludovic Righetti 217 1 0 10 Feb 2025
Your Learned Constraint is Secretly a Backward Reachable Tube Mohamad Qadri Gokul Swamy Jonathan Francis Michael Kaess Andrea Bajcsy 365 5 0 26 Jan 2025
Experimental Demonstration of an Optical Neural PDE Solver via On-Chip PINN TrainingOptical Fiber Communications Conference and Exhibition (OFC), 2025 Yequan Zhao Xian Xiao Antoine Descos Yuan Yuan Xinling Yu G. Kurczveil M. Fiorentino Zheng Zhang R. Beausoleil 204 0 0 03 Jan 2025
Enhancing Safety and Robustness of Vision-Based Controllers via Reachability Analysis Kaustav Chakraborty Aryaman Gupta Somil Bansal 209 6 0 29 Oct 2024
RPCBF: Constructing Safety Filters Robust to Model Error and Disturbances via Policy Control Barrier Functions Luzia Knoedler Oswin So Ji Yin Mitchell Black Zachary Serlin Panagiotis Tsiotras Javier Alonso-Mora Chuchu Fan 203 1 0 15 Oct 2024
Convergence Guarantees for Neural Network-Based Hamilton-Jacobi Reachability William Hofgard 162 2 0 03 Oct 2024
Learning Robust Policies via Interpretable Hamilton-Jacobi Reachability-Guided DisturbancesIEEE International Conference on Robotics and Automation (ICRA), 2024 Hanyang Hu Xilun Zhang Xubo Lyu Mo Chen 200 1 0 29 Sep 2024
System-Level Safety Monitoring and Recovery for Perception Failures in Autonomous VehiclesIEEE International Conference on Robotics and Automation (ICRA), 2024 Kaustav Chakraborty Zeyuan Feng Sushant Veer Apoorva Sharma Boris Ivanovic Marco Pavone Somil Bansal 214 5 0 26 Sep 2024
Robots that Learn to Safely Influence via Prediction-Informed Reach-Avoid Dynamic GamesIEEE International Conference on Robotics and Automation (ICRA), 2024 Ravi Pandya Changliu Liu Andrea V. Bajcsy 169 2 0 18 Sep 2024
Robots that Suggest Safe Alternatives Hyun Joe Jeong Andrea V. Bajcsy Andrea Bajcsy OffRL 277 2 0 15 Sep 2024
Cooptimizing Safety and Performance with a Control-Constrained FormulationIEEE Control Systems Letters (L-CSS), 2024 Hao Wang Adityaya Dhande Somil Bansal 133 4 0 10 Sep 2024
Gait Switching and Enhanced Stabilization of Walking Robots with Deep Learning-based Reachability: A Case Study on Two-link WalkerIEEE Conference on Decision and Control (CDC), 2024 Xingpeng Xia Jason J. Choi Ayush Agrawal Koushil Sreenath Claire J. Tomlin Somil Bansal 164 1 0 10 Sep 2024
Online Time-Informed Kinodynamic Motion Planning of Nonlinear Systems Fei Meng Jianbang Liu Haojie Shi Han Ma Hongliang Ren Max Q.-H. Meng 270 6 0 03 Jul 2024
AVOCADO: Adaptive Optimal Collision Avoidance driven by Opinion Diego Martínez Baselga Eduardo Sebastián Eduardo Montijano L. Riazuelo C. Sagüés Luis Montano 425 4 0 29 Jun 2024
Human-AI Safety: A Descendant of Generative AI and Control Systems Safety Andrea V. Bajcsy J. F. Fisac 204 7 0 16 May 2024
Parameterized Fast and Safe Tracking (FaSTrack) using DeepreachConference on Learning for Dynamics & Control (L4DC), 2024 Hyun Joe Jeong Zheng Gong Somil Bansal Sylvia Herbert 139 5 0 11 Apr 2024
RAnGE: Reachability Analysis for Guaranteed Ergodicity Henry Berger Ian Abraham 148 0 0 04 Apr 2024
Boundary-Aware Value Function Generation for Safe Stochastic Motion Planning Junhong Xu Kai-Li Yin Jason M. Gregory Kris Hauser Lantao Liu 213 3 0 22 Mar 2024
Providing Safety Assurances for Systems with Unknown DynamicsIEEE Control Systems Letters (L-CSS), 2024 Hao Wang Javier Borquez Somil Bansal 111 4 0 09 Mar 2024
State-Constrained Zero-Sum Differential Games with One-Sided Information Mukesh Ghimire Lei Zhang Zhenni Xu Yi Ren 190 2 0 05 Mar 2024
Goal-Reaching Trajectory Design Near Danger with Piecewise Affine Reach-avoid Computation Long Kiu Chung Wonsuhk Jung Chuizheng Kong Shreyas Kousik 313 3 0 23 Feb 2024
Formal Synthesis of Controllers for Safety-Critical Autonomous Systems: Developments and Challenges Xiang Yin Bingzhao Gao Xiao Yu 158 39 0 20 Feb 2024
Safety Filters for Black-Box Dynamical Systems by Learning Discriminating Hyperplanes Will Lavanakul Jason J. Choi Koushil Sreenath Claire J. Tomlin 191 17 0 07 Feb 2024