Copertina

World2Rules: A Neuro-Symbolic Framework for Learning World-Governing Safety Rules for Aviation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Haichuan, Patrikar, Jay, Scherer, Sebastian
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Robotics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

RuleFuser: An Evidential Bayes Approach for Rule Injection in Imitation Learned Planners and Predictors for Robustness under Distribution Shifts
di: Patrikar, Jay, et al.
Pubblicazione: (2024)

Follow The Rules: Online Signal Temporal Logic Tree Search for Guided Imitation Learning in Stochastic Domains
di: Aloor, Jasmine Jerry, et al.
Pubblicazione: (2022)

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models
di: Martin, Rebecca, et al.
Pubblicazione: (2025)

Pegasus Simulator: An Isaac Sim Framework for Multiple Aerial Vehicles Simulation
di: Jacinto, Marcelo, et al.
Pubblicazione: (2023)

The Case for Negative Data: From Crash Reports to Counterfactuals for Reasonable Driving
di: Patrikar, Jay, et al.
Pubblicazione: (2025)

SoRTS: Learned Tree Search for Long Horizon Social Robot Navigation
di: Navarro, Ingrid, et al.
Pubblicazione: (2023)

Perspective-Shifted Neuro-Symbolic World Models: A Framework for Socially-Aware Robot Navigation
di: Alcedo, Kevin, et al.
Pubblicazione: (2025)

GrndCtrl: Grounding World Models via Self-Supervised Reward Alignment
di: He, Haoyang, et al.
Pubblicazione: (2025)

Breaking Task Impasses Quickly: Adaptive Neuro-Symbolic Learning for Open-World Robotics
di: Lorang, Pierrick
Pubblicazione: (2026)

Learning Compositional Symbolic Task Rules from Demonstrations with Inductive Logic Programming
di: Borys, Oleh, et al.
Pubblicazione: (2026)

Co-Me: Confidence-Guided Token Merging for Visual Geometric Transformers
di: Chen, Yutian, et al.
Pubblicazione: (2025)

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment
di: Qian, Weixian, et al.
Pubblicazione: (2025)

Demonstrating ViSafe: Vision-enabled Safety for High-speed Detect and Avoid
di: Kapoor, Parv, et al.
Pubblicazione: (2025)

VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning
di: Liang, Yichao, et al.
Pubblicazione: (2024)

Build on Priors: Vision--Language--Guided Neuro-Symbolic Imitation Learning for Data-Efficient Real-World Robot Manipulation
di: Lorang, Pierrick, et al.
Pubblicazione: (2026)

Mosaic: An Extensible Framework for Composing Rule-Based and Learned Motion Planners
di: Large, Nick Le, et al.
Pubblicazione: (2026)

NeSyPack: A Neuro-Symbolic Framework for Bimanual Logistics Packing
di: Li, Bowei, et al.
Pubblicazione: (2025)

A Framework for Learning Scoring Rules in Autonomous Driving Planning Systems
di: Xiong, Zikang, et al.
Pubblicazione: (2025)

Fast Task Planning with Neuro-Symbolic Relaxation
di: Du, Qiwei, et al.
Pubblicazione: (2025)

Traffic and Safety Rule Compliance of Humans in Diverse Driving Situations
di: Kurenkov, Michael, et al.
Pubblicazione: (2024)

CRAFT-E: A Neuro-Symbolic Framework for Embodied Affordance Grounding
di: Chen, Zhou, et al.
Pubblicazione: (2025)

Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning
di: Keller, Leon, et al.
Pubblicazione: (2025)

Neuro-Symbolic Rule Lists
di: Xu, Sascha, et al.
Pubblicazione: (2024)

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning
di: Arriaga, Octavio, et al.
Pubblicazione: (2025)

AnyNav: Visual Neuro-Symbolic Friction Learning for Off-road Navigation
di: Fu, Taimeng, et al.
Pubblicazione: (2025)

A Rule-Compliance Path Planner for Lane-Merge Scenarios Based on Responsibility-Sensitive Safety
di: Lin, Pengfei, et al.
Pubblicazione: (2024)

Trust, Geometry, and Rules: A Credibility-Aware Reinforcement Learning Framework for Safe USV Navigation under Uncertainty
di: Zhang, Yuhang, et al.
Pubblicazione: (2026)

Language-Augmented Symbolic Planner for Open-World Task Planning
di: Chen, Guanqi, et al.
Pubblicazione: (2024)

Few-Shot Neuro-Symbolic Imitation Learning for Long-Horizon Planning and Acting
di: Lorang, Pierrick, et al.
Pubblicazione: (2025)

Rule-Based Lloyd Algorithm for Multi-Robot Motion Planning and Control with Safety and Convergence Guarantees
di: Boldrer, Manuel, et al.
Pubblicazione: (2023)

Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
di: Wang, Chen, et al.
Pubblicazione: (2024)

Graphormer-Guided Task Planning: Beyond Static Rules with LLM Safety Perception
di: Huang, Wanjing, et al.
Pubblicazione: (2025)

StretchBot: A Neuro-Symbolic Framework for Adaptive Guidance with Assistive Robots
di: Vogelgesang, Luca, et al.
Pubblicazione: (2026)

Towards Reliable Code-as-Policies: A Neuro-Symbolic Framework for Embodied Task Planning
di: Ahn, Sanghyun, et al.
Pubblicazione: (2025)

NS-VLA: Towards Neuro-Symbolic Vision-Language-Action Models
di: Zhu, Ziyue, et al.
Pubblicazione: (2026)

Recover: A Neuro-Symbolic Framework for Failure Detection and Recovery
di: Cornelio, Cristina, et al.
Pubblicazione: (2024)

Predictive Traffic Rule Compliance using Reinforcement Learning
di: Huang, Yanliang, et al.
Pubblicazione: (2025)

Learning Bilevel Policies over Symbolic World Models for Long-Horizon Planning
di: Chen, Dillon Z., et al.
Pubblicazione: (2026)

eRSS-RAMP: A Rule-Adherence Motion Planner Based on Extended Responsibility-Sensitive Safety for Autonomous Driving
di: Lin, Pengfei, et al.
Pubblicazione: (2024)

Making Robots Play by the Rules: The ROS 2 CLIPS-Executive
di: Viehmann, Tarik, et al.
Pubblicazione: (2025)