Assured Autonomy with Neuro-Symbolic Perception
Fuente:
arXiv
Saved in:
| Main Authors: | Hallyburton, R. Spencer, Pajic, Miroslav |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bayesian Methods for Trust in Collaborative Multi-Agent Autonomy
by: Hallyburton, R. Spencer, et al.
Published: (2024)
by: Hallyburton, R. Spencer, et al.
Published: (2024)
Trusted Data Fusion, Multi-Agent Autonomy, Autonomous Vehicles
by: Hallyburton, R. Spencer, et al.
Published: (2025)
by: Hallyburton, R. Spencer, et al.
Published: (2025)
Security-Aware Sensor Fusion with MATE: the Multi-Agent Trust Estimator
by: Hallyburton, R. Spencer, et al.
Published: (2025)
by: Hallyburton, R. Spencer, et al.
Published: (2025)
NeuroStrata: Harnessing Neurosymbolic Paradigms for Improved Design, Testability, and Verifiability of Autonomous CPS
by: Zheng, Xi, et al.
Published: (2025)
by: Zheng, Xi, et al.
Published: (2025)
LLaViDA: A Large Language Vision Driving Assistant for Explicit Reasoning and Enhanced Trajectory Planning
by: Liu, Yudong, et al.
Published: (2025)
by: Liu, Yudong, et al.
Published: (2025)
A Multi-Agent Security Testbed for the Analysis of Attacks and Defenses in Collaborative Sensor Fusion
by: Hallyburton, R. Spencer, et al.
Published: (2024)
by: Hallyburton, R. Spencer, et al.
Published: (2024)
Probabilistic Segmentation for Robust Field of View Estimation
by: Hallyburton, R. Spencer, et al.
Published: (2025)
by: Hallyburton, R. Spencer, et al.
Published: (2025)
A Neuro-Symbolic Framework for Reasoning under Perceptual Uncertainty: Bridging Continuous Perception and Discrete Symbolic Planning
by: Wu, Jiahao, et al.
Published: (2025)
by: Wu, Jiahao, et al.
Published: (2025)
On the Uniqueness of Solution for the Bellman Equation of LTL Objectives
by: Xuan, Zetong, et al.
Published: (2024)
by: Xuan, Zetong, et al.
Published: (2024)
Compositional Neuro-Symbolic Reasoning
by: Das, Anugyan, et al.
Published: (2026)
by: Das, Anugyan, et al.
Published: (2026)
Federated Neuro-Symbolic Learning
by: Xing, Pengwei, et al.
Published: (2023)
by: Xing, Pengwei, et al.
Published: (2023)
The SET Perceptual Factors Framework: Towards Assured Perception for Autonomous Systems
by: Williams, Troi
Published: (2025)
by: Williams, Troi
Published: (2025)
What Would Trojans Do? Exploiting Partial-Information Vulnerabilities in Autonomous Vehicle Sensing
by: Hallyburton, R. Spencer, et al.
Published: (2023)
by: Hallyburton, R. Spencer, et al.
Published: (2023)
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
by: Wang, Chen, et al.
Published: (2024)
by: Wang, Chen, et al.
Published: (2024)
Neuro-Symbolic AI for Military Applications
by: Hagos, Desta Haileselassie, et al.
Published: (2024)
by: Hagos, Desta Haileselassie, et al.
Published: (2024)
Embodied Intelligence in Disassembly: Multimodal Perception Cross-validation and Continual Learning in Neuro-Symbolic TAMP
by: He, Ziwen, et al.
Published: (2025)
by: He, Ziwen, et al.
Published: (2025)
Neuro-Symbolic Rule Lists
by: Xu, Sascha, et al.
Published: (2024)
by: Xu, Sascha, et al.
Published: (2024)
Mutually Assured Deregulation
by: Abiri, Gilad
Published: (2025)
by: Abiri, Gilad
Published: (2025)
Neuro-Symbolic Verification on Instruction Following of LLMs
by: Su, Yiming, et al.
Published: (2026)
by: Su, Yiming, et al.
Published: (2026)
Semirings for Probabilistic and Neuro-Symbolic Logic Programming
by: Derkinderen, Vincent, et al.
Published: (2024)
by: Derkinderen, Vincent, et al.
Published: (2024)
Neuro-Symbolic Data Generation for Math Reasoning
by: Li, Zenan, et al.
Published: (2024)
by: Li, Zenan, et al.
Published: (2024)
A Semantic Framework for Neuro-Symbolic Computing
by: Odense, Simon, et al.
Published: (2022)
by: Odense, Simon, et al.
Published: (2022)
Control Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement Learning
by: Bozkurt, Alper Kamil, et al.
Published: (2019)
by: Bozkurt, Alper Kamil, et al.
Published: (2019)
Adaptive Policy Selection and Fine-Tuning under Interaction Budgets for Offline-to-Online Reinforcement Learning
by: Bozkurt, Alper Kamil, et al.
Published: (2026)
by: Bozkurt, Alper Kamil, et al.
Published: (2026)
Taxonomic Networks: A Representation for Neuro-Symbolic Pairing
by: Wang, Zekun, et al.
Published: (2025)
by: Wang, Zekun, et al.
Published: (2025)
Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning
by: Zhang, Xuan, et al.
Published: (2025)
by: Zhang, Xuan, et al.
Published: (2025)
Neuro-Symbolic AI in 2024: A Systematic Review
by: Colelough, Brandon C., et al.
Published: (2025)
by: Colelough, Brandon C., et al.
Published: (2025)
A Challenge to Build Neuro-Symbolic Video Agents
by: Shah, Sahil, et al.
Published: (2025)
by: Shah, Sahil, et al.
Published: (2025)
Declarative Design of Neural Predicates in Neuro-Symbolic Systems
by: Hinnerichs, Tilman, et al.
Published: (2024)
by: Hinnerichs, Tilman, et al.
Published: (2024)
Neuro-Symbolic Entity Alignment via Variational Inference
by: Chen, Shengyuan, et al.
Published: (2024)
by: Chen, Shengyuan, et al.
Published: (2024)
Lemmanaid: Neuro-Symbolic Lemma Conjecturing
by: Alhessi, Yousef, et al.
Published: (2025)
by: Alhessi, Yousef, et al.
Published: (2025)
An Agentic Framework for Neuro-Symbolic Programming
by: Nafar, Aliakbar, et al.
Published: (2026)
by: Nafar, Aliakbar, et al.
Published: (2026)
A Learnability Analysis on Neuro-Symbolic Learning
by: He, Hao-Yuan, et al.
Published: (2025)
by: He, Hao-Yuan, et al.
Published: (2025)
Softened Symbol Grounding for Neuro-symbolic Systems
by: Li, Zenan, et al.
Published: (2024)
by: Li, Zenan, et al.
Published: (2024)
A Scalable Approach to Probabilistic Neuro-Symbolic Robustness Verification
by: Manginas, Vasileios, et al.
Published: (2025)
by: Manginas, Vasileios, et al.
Published: (2025)
Constructing a Neuro-Symbolic Mathematician from First Principles
by: Xie, Keqin
Published: (2025)
by: Xie, Keqin
Published: (2025)
Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible
by: Jia, Lin-Han, et al.
Published: (2025)
by: Jia, Lin-Han, et al.
Published: (2025)
A Study on Neuro-Symbolic Artificial Intelligence: Healthcare Perspectives
by: Hossain, Delower, et al.
Published: (2025)
by: Hossain, Delower, et al.
Published: (2025)
A Neuro-Symbolic Approach for Probabilistic Reasoning on Graph Data
by: Pojer, Raffaele, et al.
Published: (2025)
by: Pojer, Raffaele, et al.
Published: (2025)
Neuro-Symbolic Proof Generation for Scaling Systems Software Verification
by: He, Baoding, et al.
Published: (2026)
by: He, Baoding, et al.
Published: (2026)
Similar Items
-
Bayesian Methods for Trust in Collaborative Multi-Agent Autonomy
by: Hallyburton, R. Spencer, et al.
Published: (2024) -
Trusted Data Fusion, Multi-Agent Autonomy, Autonomous Vehicles
by: Hallyburton, R. Spencer, et al.
Published: (2025) -
Security-Aware Sensor Fusion with MATE: the Multi-Agent Trust Estimator
by: Hallyburton, R. Spencer, et al.
Published: (2025) -
NeuroStrata: Harnessing Neurosymbolic Paradigms for Improved Design, Testability, and Verifiability of Autonomous CPS
by: Zheng, Xi, et al.
Published: (2025) -
LLaViDA: A Large Language Vision Driving Assistant for Explicit Reasoning and Enhanced Trajectory Planning
by: Liu, Yudong, et al.
Published: (2025)