Imagen de Portada

Data-Driven Hamiltonian for Direct Construction of Safe Set from Trajectory Data

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Choi, Jason J., Strong, Christopher A., Sreenath, Koushil, Cho, Namhoon, Tomlin, Claire J.
Formato:	Preprint
Publicado:	2025
Materias:	Systems and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Constraint-Guided Online Data Selection for Scalable Data-Driven Safety Filters in Uncertain Robotic Systems
por: Choi, Jason J., et al.
Publicado: (2023)

When are safety filters safe? On minimum phase conditions of control barrier functions
por: Choi, Jason J., et al.
Publicado: (2025)

Recursively Feasible Probabilistic Safe Online Learning with Control Barrier Functions
por: Castañeda, Fernando, et al.
Publicado: (2022)

Gait Switching and Enhanced Stabilization of Walking Robots with Deep Learning-based Reachability: A Case Study on Two-link Walker
por: Xia, Xingpeng, et al.
Publicado: (2024)

A Forward Reachability Perspective on Control Barrier Functions and Discount Factors in Reachability Analysis
por: Choi, Jason J., et al.
Publicado: (2023)

Dynamic Incentive Selection for Hierarchical Convex Model Predictive Control
por: Thirugnanam, Akshay, et al.
Publicado: (2025)

Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots
por: Cai, Jiaze, et al.
Publicado: (2024)

Safe Connectivity Maintenance of Underactuated Multi-Agent Networks in Dynamic Oceanic Environments
por: Hoischen, Nicolas, et al.
Publicado: (2023)

Duality-based Convex Optimization for Real-time Obstacle Avoidance between Polytopes with Control Barrier Functions
por: Thirugnanam, Akshay, et al.
Publicado: (2021)

Multi-Agent Guided Policy Search for Non-Cooperative Dynamic Games
por: Li, Jingqi, et al.
Publicado: (2025)

EigenSafe: A Spectral Framework for Learning-Based Probabilistic Safety Assessment
por: Jang, Inkyu, et al.
Publicado: (2025)

Active Calibration of Reachable Sets Using Approximate Pick-to-Learn
por: Deglurkar, Sampada, et al.
Publicado: (2026)

Safety Filters for Black-Box Dynamical Systems by Learning Discriminating Hyperplanes
por: Lavanakul, Will, et al.
Publicado: (2024)

DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectories
por: Bouvier, Jean-Baptiste, et al.
Publicado: (2025)

Competency-Aware Planning for Probabilistically Safe Navigation Under Perception Uncertainty
por: Pohland, Sara, et al.
Publicado: (2024)

Control Barrier Functions for Collision Avoidance Between Strongly Convex Regions
por: Thirugnanam, Akshay, et al.
Publicado: (2023)

Learning-Enabled Iterative Convex Optimization for Safety-Critical Model Predictive Control
por: Liu, Shuo, et al.
Publicado: (2024)

A Passivity-Based Method for Accelerated Convex Optimisation
por: Cho, Namhoon, et al.
Publicado: (2023)

IteraOptiRacing: A Unified Planning-Control Framework for Real-time Autonomous Racing for Iterative Optimal Performance
por: Zeng, Yifan, et al.
Publicado: (2025)

Resolving Conflicting Constraints in Multi-Agent Reinforcement Learning with Layered Safety
por: Choi, Jason J., et al.
Publicado: (2025)

HJ-Gauss: A Monte-Carlo HJ Reachability Scheme
por: Molu, Lekan, et al.
Publicado: (2026)

A Hamilton-Jacobi Reachability Framework with Soft Constraints for Safety-Critical Systems
por: Mballo, Chams Eddine, et al.
Publicado: (2025)

Inverse Safety Filtering: Inferring Constraints from Safety Filters for Decentralized Coordination
por: Nguyen, Minh, et al.
Publicado: (2026)

Online Omnidirectional Jumping Trajectory Planning for Quadrupedal Robots on Uneven Terrains
por: Yue, Linzhu, et al.
Publicado: (2024)

Prompt a Robot to Walk with Large Language Models
por: Wang, Yen-Jen, et al.
Publicado: (2023)

Velocity Obstacle for Polytopic Collision Avoidance for Distributed Multi-robot Systems
por: Huang, Jihao, et al.
Publicado: (2023)

Safe Data-Driven Predictive Control
por: Vahidi-Moghaddam, Amin, et al.
Publicado: (2025)

Synchronisation-Oriented Design Approach for Adaptive Control
por: Cho, Namhoon, et al.
Publicado: (2024)

An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments
por: Bajcsy, Andrea, et al.
Publicado: (2019)

Optimisation of Structured Neural Controller Based on Continuous-Time Policy Gradient
por: Cho, Namhoon, et al.
Publicado: (2022)

ORFit: One-Pass Learning via Bridging Orthogonal Gradient Descent and Recursive Least-Squares
por: Min, Youngjae, et al.
Publicado: (2022)

CHyLL: Learning Continuous Neural Representations of Hybrid Systems
por: Teng, Sangli, et al.
Publicado: (2025)

Data-Driven Synthesis of Robust Positively Invariant Sets from Noisy Data
por: Wang, Chi, et al.
Publicado: (2026)

A Spectral Perspective on Stochastic Control Barrier Functions
por: Jang, Inkyu, et al.
Publicado: (2026)

Non-Conservative Data-driven Safe Control Design for Nonlinear Systems with Polyhedral Safe Sets
por: Modares, Amir, et al.
Publicado: (2025)

Hacking Predictors Means Hacking Cars: Using Sensitivity Analysis to Identify Trajectory Prediction Vulnerabilities for Autonomous Driving Security
por: Gibson, Marsalis, et al.
Publicado: (2024)

Safe Trajectory Sets for Online Operation of Power Systems under Uncertainty
por: Klein-Helmkamp, Florian, et al.
Publicado: (2024)

The computation of approximate feedback Stackelberg equilibria in multi-player nonlinear constrained dynamic games
por: Li, Jingqi, et al.
Publicado: (2024)

Combinatorial Safety-Critical Coordination of Multi-Agent Systems via Mixed-Integer Responsibility Allocation and Control Barrier Functions
por: Autenrieb, Johannes, et al.
Publicado: (2026)

Secure Data Reconstruction: A Direct Data-Driven Approach
por: Yan, Jiaqi, et al.
Publicado: (2025)