Imagen de Portada

Deep QP Safety Filter: Model-free Learning for Reachability-based Safety Filter

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kim, Byeongjun, Kim, H. Jin
Formato:	Preprint
Publicado:	2026
Materias:	Robotics Systems and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

Q-learning-based Model-free Safety Filter
por: Sue, Guo Ning, et al.
Publicado: (2024)

Distributionally Robust Safety Under Arbitrary Uncertainties: A Safety Filtering Approach
por: Cherenson, Daniel M., et al.
Publicado: (2026)

Domain Adaptive Safety Filters via Deep Operator Learning
por: Manda, Lakshmideepakreddy, et al.
Publicado: (2024)

Enhancing Feature Tracking Reliability for Visual Navigation using Real-Time Safety Filter
por: Kim, Dabin, et al.
Publicado: (2025)

Backup-Based Safety Filters: A Comparative Review of Backup CBF, Model Predictive Shielding, and gatekeeper
por: Kim, Taekyung, et al.
Publicado: (2026)

Dynamic Safety in Complex Environments: Synthesizing Safety Filters with Poisson's Equation
por: Bahati, Gilbert, et al.
Publicado: (2025)

Risk-Aware Safety Filters with Poisson Safety Functions and Laplace Guidance Fields
por: Bahati, Gilbert, et al.
Publicado: (2025)

Safety with Agency: Human-Centered Safety Filter with Application to AI-Assisted Motorsports
por: Oh, Donggeon David, et al.
Publicado: (2025)

Stability Margins of CBF-QP Safety Filters: Analysis and Synthesis
por: Mousavi, Shima Sadat, et al.
Publicado: (2026)

Adversarial Stress Testing of SPARK Humanoid Safety Filters
por: Ghosh, Saurav, et al.
Publicado: (2026)

Provably Optimal Reinforcement Learning under Safety Filtering
por: Oh, Donggeon David, et al.
Publicado: (2025)

QP Chaser: Polynomial Trajectory Generation for Autonomous Aerial Tracking
por: Lee, Yunwoo, et al.
Publicado: (2023)

Boundary Sampling to Learn Predictive Safety Filters via Pontryagin's Maximum Principle
por: Dallas, James, et al.
Publicado: (2026)

Geometry-Aware Predictive Safety Filters on Humanoids: From Poisson Safety Functions to CBF Constrained MPC
por: Bena, Ryan M., et al.
Publicado: (2025)

Beyond Safety Filtering: Control Barrier Function-Informed Reinforcement Learning for Connected and Automated Vehicles
por: Xu, Jianye, et al.
Publicado: (2026)

Ensuring Safety at Intelligent Intersections: Temporal Logic Meets Reachability Analysis
por: Arfvidsson, Kaj Munhoz, et al.
Publicado: (2024)

Safe Control using Learned Safety Filters and Adaptive Conformal Inference
por: Huriot, Sacha, et al.
Publicado: (2026)

MPC as a Copilot: A Predictive Filter Framework with Safety and Stability Guarantees
por: Yan, Yunda, et al.
Publicado: (2026)

Secure Safety Filter: Towards Safe Flight Control under Sensor Attacks
por: Tan, Xiao, et al.
Publicado: (2025)

Collision Avoidance Safety Filter for an Autonomous E-Scooter using Ultrasonic Sensors
por: Strässer, Robin, et al.
Publicado: (2024)

Back to Base: Towards Hands-Off Learning via Safe Resets with Reach-Avoid Safety Filters
por: Begzadić, Azra, et al.
Publicado: (2025)

Exact Imposition of Safety Boundary Conditions in Neural Reachable Tubes
por: Singh, Aditya, et al.
Publicado: (2024)

Parameter-Conditioned Reachable Sets for Updating Safety Assurances Online
por: Borquez, Javier, et al.
Publicado: (2022)

Time-To-Reach Separation and Safety Filtering for Safe, Fair, and Efficient Multi-Agent Coordination
por: Low, Matthew, et al.
Publicado: (2026)

Safety Filtering While Training: Improving the Performance and Sample Efficiency of Reinforcement Learning Agents
por: Bejarano, Federico Pizarro, et al.
Publicado: (2024)

Learning Ensembles of Vision-based Safety Control Filters
por: Tabbara, Ihab, et al.
Publicado: (2024)

Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures
por: Seo, Junwon, et al.
Publicado: (2025)

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

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

Statistically Assuring Safety of Control Systems using Ensembles of Safety Filters and Conformal Prediction
por: Tabbara, Ihab, et al.
Publicado: (2025)

Safety Evaluation of Motion Plans Using Trajectory Predictors as Forward Reachable Set Estimators
por: Chakraborty, Kaustav, et al.
Publicado: (2025)

Towards Data-Driven Model-Free Safety-Critical Control
por: Shen, Zhe, et al.
Publicado: (2025)

Learning Reactive Dexterous Grasping via Hierarchical Task-Space RL Planning and Joint-Space QP Control
por: Lee, Ho Jae, et al.
Publicado: (2026)

CBF-RL: Safety Filtering Reinforcement Learning in Training with Control Barrier Functions
por: Yang, Lizhi, et al.
Publicado: (2025)

A Closed-Form Dual-Barrier CBF Safety Filter for Holonomic Robots on Incrementally Built Occupancy Grid Maps
por: Paudel, Himanshu, et al.
Publicado: (2026)

A Real-Time Control Barrier Function-Based Safety Filter for Motion Planning with Arbitrary Road Boundary Constraints
por: Xu, Jianye, et al.
Publicado: (2025)

Adaptive Invariant Extended Kalman Filter for Legged Robot State Estimation
por: Kim, Kyung-Hwan, et al.
Publicado: (2025)

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

Bridging Model Predictive Control and Deep Learning for Scalable Reachability Analysis
por: Feng, Zeyuan, et al.
Publicado: (2025)