:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Hu, Hanyang, Zhang, Xilun, Lyu, Xubo, Chen, Mo
Format:	Preprint
Published:	2024
Subjects:	Robotics
Online Access:	https://arxiv.org/abs/2409.19746
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Hamilton-Jacobi Reachability-Guided Search Framework for Efficient and Safe Indoor Planar Robot Navigation
by: Hu, Hanyang, et al.
Published: (2026)

HJRNO: Hamilton-Jacobi Reachability with Neural Operators
by: Li, Yankai, et al.
Published: (2025)

Threshold Strategy for Leaking Corner-Free Hamilton-Jacobi Reachability with Decomposed Computations
by: He, Chong, et al.
Published: (2025)

Guaranteed Completion of Complex Tasks via Temporal Logic Trees and Hamilton-Jacobi Reachability
by: Jiang, Frank J., et al.
Published: (2024)

Robust Control using Control Lyapunov Function and Hamilton-Jacobi Reachability
by: Yang, Chun-Ming, et al.
Published: (2024)

Hamilton--Jacobi Reachability for Spacecraft Collision Avoidance
by: Hui, Larry, et al.
Published: (2026)

Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey
by: Ganai, Milan, et al.
Published: (2024)

Robust Verification of Controllers under State Uncertainty via Hamilton-Jacobi Reachability Analysis
by: Lin, Albert, et al.
Published: (2025)

Contingency-Aware Planning via Certified Neural Hamilton-Jacobi Reachability
by: Muenprasitivej, Kasidit, et al.
Published: (2026)

Hamilton-Jacobi Reachability Analysis for Hybrid Systems with Controlled and Forced Transitions
by: Borquez, Javier, et al.
Published: (2023)

Manifold-constrained Hamilton-Jacobi Reachability Learning for Decentralized Multi-Agent Motion Planning
by: Chen, Qingyi, et al.
Published: (2025)

Optimal Control-Based Baseline for Guided Exploration in Policy Gradient Methods
by: Lyu, Xubo, et al.
Published: (2020)

On Safety and Liveness Filtering Using Hamilton-Jacobi Reachability Analysis
by: Borquez, Javier, et al.
Published: (2023)

SCRAMPPI: Efficient Contingency Planning for Mobile Robot Navigation via Hamilton-Jacobi Reachability
by: Srirangam, Raj Harshit, et al.
Published: (2026)

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Agent Motion Planning
by: Chen, Qingyi, et al.
Published: (2025)

Fast Confidence-Aware Human Prediction via Hardware-accelerated Bayesian Inference for Safe Robot Navigation
by: Lu, Michael, et al.
Published: (2026)

Reachability Barrier Networks: Learning Hamilton-Jacobi Solutions for Smooth and Flexible Control Barrier Functions
by: Kim, Matthew, et al.
Published: (2025)

Safe and Performant Deployment of Autonomous Systems via Model Predictive Control and Hamilton-Jacobi Reachability Analysis
by: Wang, Hao, et al.
Published: (2025)

Fast Path Planning for Autonomous Vehicle Parking with Safety-Guarantee using Hamilton-Jacobi Reachability
by: Chi, Xuemin, et al.
Published: (2023)

Patching Approximately Safe Value Functions Leveraging Local Hamilton-Jacobi Reachability Analysis
by: Tonkens, Sander, et al.
Published: (2023)

NeuroHJR: Hamilton-Jacobi Reachability-based Obstacle Avoidance in Complex Environments with Physics-Informed Neural Networks
by: Halder, Granthik, et al.
Published: (2025)

DualGuard MPPI: Safe and Performant Optimal Control by Combining Sampling-Based MPC and Hamilton-Jacobi Reachability
by: Borquez, Javier, et al.
Published: (2025)

Safety-Aware Imitation Learning via MPC-Guided Disturbance Injection
by: Qiu, Le, et al.
Published: (2025)

RAIL: Reachability-Aided Imitation Learning for Safe Policy Execution
by: Jung, Wonsuhk, et al.
Published: (2024)

Dynamics as Prompts: In-Context Learning for Sim-to-Real System Identifications
by: Zhang, Xilun, et al.
Published: (2024)

Interacting safely with cyclists using Hamilton-Jacobi reachability and reinforcement learning
by: Noronha, Aarati Andrea, et al.
Published: (2026)

REAL: Robust Extreme Agility via Spatio-Temporal Policy Learning and Physics-Guided Filtering
by: Liu, Jialong, et al.
Published: (2026)

Beyond Static Datasets: Robust Offline Policy Optimization via Vetted Synthetic Transitions
by: Agand, Pedram, et al.
Published: (2026)

Certifying Hamilton-Jacobi Reachability Learned via Reinforcement Learning
by: Solanki, Prashant, et al.
Published: (2026)

Unifying Hamilton-Jacobi Reachability and Reinforcement Learning
by: Solanki, Prashant, et al.
Published: (2026)

Enhancing Safety and Robustness of Vision-Based Controllers via Reachability Analysis
by: Chakraborty, Kaustav, et al.
Published: (2024)

Scaling Verification Can Be More Effective than Scaling Policy Learning for Vision-Language-Action Alignment
by: Kwok, Jacky, et al.
Published: (2026)

Robust Deterministic Policy Gradient for Disturbance Attenuation and Its Application to Quadrotor Control
by: Lee, Taeho, et al.
Published: (2025)

Safety-Critical Human-Machine Shared Driving for Vehicle Collision Avoidance based on Hamilton-Jacobi reachability
by: Zhao, Shiyue, et al.
Published: (2025)

Robust Online Residual Refinement via Koopman-Guided Dynamics Modeling
by: Gong, Zhefei, et al.
Published: (2025)

Multi-Floor Exploration for Ground Robots via an Incremental Reachable Graph and Structural Priors
by: Zhu, Zhiwen, et al.
Published: (2026)

Validation of Space Robotics in Underwater Environments via Disturbance Robustness Equivalency
by: Verhagen, Joris, et al.
Published: (2026)

Trajectory Tracking with Reachability-Guided Quadratic Programming and Freeze-Resume
by: Gholampour, Hossein, et al.
Published: (2025)

Predicting Long-Term Human Behaviors in Discrete Representations via Physics-Guided Diffusion
by: Zhang, Zhitian, et al.
Published: (2024)

Mask World Model: Predicting What Matters for Robust Robot Policy Learning
by: Lou, Yunfan, et al.
Published: (2026)