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Permissive Safety Through Trusted Inference: Verifiable Belief-Space Neural Safety Filters for Assured Interactive Robotics

arXiv:2606.02562v1 Announce Type: cross Abstract: Autonomous robots that interact with people must make safe and efficient decisions under human-induced uncertainty, such as their preferences, goals,

model-releasesarxiv-cs-ai

2 Jun 2026

Search: “safety”

Full-Body Dynamic Safety for Robot Manipulators: 3D Poisson Safety Functions for CBF-Based Safety Filters

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

Safety, or Just Capability? A Validity Audit of Agent-Safety Benchmarks

Few Tokens, Big Leverage: Preserving Safety Alignment by Constraining Safety Tokens during Fine-tuning

Cooptimizing Safety and Performance Using Safety Value-Constrained Model Predictive Control

Who Bridges Safety? Identifying and Targeting Cross-Lingual Shared Safety Pathways

CASA: Classification Augmented with Safety Attention for Robust Multimodal Alignment

Permissive Safety Through Trusted Inference: Verifiable Belief-Space Neural Safety Filters for Assured Interactive Robotics

Approximating Safety Feedback Without a Safety Oracle via Model Predictive Control

Reducing the Safety Tax in LLM Safety Alignment with On-Policy Self-Distillation

Distributionally Robust Safety Under Arbitrary Uncertainties: A Safety Filtering Approach

AsFT: Anchoring Safety During LLM Fine-Tuning Within Narrow Safety Basin

Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-Tuning and Can Be Mitigated by Machine Unlearning

Safety-aware Goal-oriented Semantic Sensing, Communication, and Control for Robotics

Boundary Sampling to Learn Predictive Safety Filters via Pontryagin's Maximum Principle

Initiation Safety: A Missing Dimension in Generalist-Robot Safety

Dynamic Optimization and Safety Indicator Injection for Jailbreaking Text-to-Image Models with Multimodal Safety Filters

Adjustment Speed as a Safety Constraint for Nonstationary Reinforcement Learning

When Context Flips, Safety Breaks: Diagnosing Brittle Safety in Aligned Language Models

Safety-Critical Whole-Body Control for Humanoid Robots via Input-to-State Safe Control Barrier Functions

Disentangled Safety Adapters Enable Efficient Guardrails and Flexible Inference-Time Alignment

Safe Control using Learned Safety Filters and Adaptive Conformal Inference

Dialogue based Interactive Explanations for Safety Decisions in Human Robot Collaboration

ProbGuard: Calibrated Safety Risk Estimation from LLM Output Distributions

Beyond 'I Can't Help With That': How Child Safety Experts Evaluate AI Chatbot Safety

SafeGen: Goal-Conditioned Video Diffusion of Safety-Critical Scenarios for VLM-Based Autonomous Driving

LIBERO-Safety: A Comprehensive Benchmark for Physical and Semantic Safety in Vision-Language-Action Models

Who Earns the Safety? Intervention-Aware Quantum Predictive Control with Safety Attribution

Do Models Share Safety Representations? Cross-Model Steering for Safe Visual Generation

Safety Under Scaffolding: How Evaluation Conditions Shape Measured Safety

Safe Continual Reinforcement Learning under Nonstationarity via Adaptive Safety Constraints

Safety Is Not Universal: The Selective Safety Trap in LLM Alignment

Dual Stress: Runtime Safety Monitoring for Safety-Constrained MPC Navigation

SafeCap: Improving LVLM Safety with Image Captioning Reinforcement Learning

Configurable Reward Model for Balanced Safety Alignment

Why Do Safety Guardrails Degrade Across Languages?

Sustaining AI safety: Control-theoretic external impossibility, intrinsic necessity, and structural requirements

RACC: Representation-Aware Coverage Criteria for LLM Safety Testing

The Safety-Aware Denoiser for Text Diffusion Models

Dyna-Style Safety Augmented Reinforcement Learning: Staying Safe in the Face of Uncertainty

State-Dependent Safety Failures in Multi-Turn Language Model Interaction

Attention Misses Visual Risk: Risk-Adaptive Steering for Multimodal Safety Alignment

DT-Guard: Intent-Driven Reasoning-Active Training for Reasoning-Free LLM Safety Guardrail

ForesightSafety-VLA: A Unified Diagnostic Safety Benchmark for Vision-Language-Action Models

Safety Paradox: How Enhanced Safety Awareness Leaves LLMs Vulnerable to Posterior Attack

COP-Q: Safety-First Reinforcement Learning for Robot Control via Cholesky-Ordered Projection

RUBAS: Rubric-Based Reinforcement Learning for Agent Safety

From Cumulative Constraints to Adaptive Runtime Safety Control for Nonstationary Reinforcement Learning