Copertina

Anomaly-Informed Confidence Calibration for Vision-Based Safety Prediction

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Mao, Zhenjiang, Wu, Jiawen, Wagner, Gabriel, Zhang, Zhongzheng, Ruchkin, Ivan
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Robotics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

How Safe Will I Be Given What I Saw? Calibrated Prediction of Safety Chances for Image-Controlled Autonomy
di: Mao, Zhenjiang, et al.
Pubblicazione: (2025)

Zero-shot Safety Prediction for Autonomous Robots with Foundation World Models
di: Mao, Zhenjiang, et al.
Pubblicazione: (2024)

How Safe Am I Given What I See? Calibrated Prediction of Safety Chances for Image-Controlled Autonomy
di: Mao, Zhenjiang, et al.
Pubblicazione: (2023)

Generalizable Image Repair for Robust Visual Control
di: Sobolewski, Carson, et al.
Pubblicazione: (2025)

Four Principles for Physically Interpretable World Models
di: Peper, Jordan, et al.
Pubblicazione: (2025)

Language-Enhanced Latent Representations for Out-of-Distribution Detection in Autonomous Driving
di: Mao, Zhenjiang, et al.
Pubblicazione: (2024)

Towards Unified Probabilistic Verification and Validation of Vision-Based Autonomy
di: Peper, Jordan, et al.
Pubblicazione: (2025)

Confidence over Time: Confidence Calibration with Temporal Logic for Large Language Model Reasoning
di: Mao, Zhenjiang, et al.
Pubblicazione: (2026)

Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic
di: Mao, Zhenjiang, et al.
Pubblicazione: (2025)

TEACar: An Open-Source Autonomous Driving Platform
di: Zhang, Zhongzheng, et al.
Pubblicazione: (2026)

Confidence Calibration in Vision-Language-Action Models
di: Zollo, Thomas P, et al.
Pubblicazione: (2025)

Physically Interpretable World Models via Weakly Supervised Representation Learning
di: Mao, Zhenjiang, et al.
Pubblicazione: (2024)

When to Act: Calibrated Confidence for Reliable Human Intention Prediction in Assistive Robotics
di: Gaus, Johannes A., et al.
Pubblicazione: (2026)

Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception
di: Mei, Zhiting, et al.
Pubblicazione: (2024)

Ensuring Force Safety in Vision-Guided Robotic Manipulation via Implicit Tactile Calibration
di: Wei, Lai, et al.
Pubblicazione: (2024)

Automatic Robot Hand-Eye Calibration Enabled by Learning-Based 3D Vision
di: Li, Leihui, et al.
Pubblicazione: (2023)

Spatiotemporal Calibration for Laser Vision Sensor in Hand-eye System Based on Straight-line Constraint
di: Yang, Peiwen, et al.
Pubblicazione: (2025)

VLMPC: Vision-Language Model Predictive Control for Robotic Manipulation
di: Zhao, Wentao, et al.
Pubblicazione: (2024)

High-Speed Vision-Based Flight in Clutter with Safety-Shielded Reinforcement Learning
di: Zhang, Jiarui, et al.
Pubblicazione: (2026)

SafeShift: Safety-Informed Distribution Shifts for Robust Trajectory Prediction in Autonomous Driving
di: Stoler, Benjamin, et al.
Pubblicazione: (2023)

EasyCalib: Simple and Low-Cost In-Situ Calibration for Force Reconstruction with Vision-Based Tactile Sensors
di: Li, Mingxuan, et al.
Pubblicazione: (2024)

ETSM: Automating Dissection Trajectory Suggestion and Confidence Map-Based Safety Margin Prediction for Robot-assisted Endoscopic Submucosal Dissection
di: Xu, Mengya, et al.
Pubblicazione: (2024)

Concept-Based Dictionary Learning for Inference-Time Safety in Vision Language Action Models
di: Wen, Siqi, et al.
Pubblicazione: (2026)

Vision-Language Model Predictive Control for Manipulation Planning and Trajectory Generation
di: Chen, Jiaming, et al.
Pubblicazione: (2025)

Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees
di: Ma, Xinhang, et al.
Pubblicazione: (2025)

Enhancing Safety and Robustness of Vision-Based Controllers via Reachability Analysis
di: Chakraborty, Kaustav, et al.
Pubblicazione: (2024)

Prediction-Driven Motion Planning: Route Integration Strategies in Attention-Based Prediction Models
di: Steiner, Marlon, et al.
Pubblicazione: (2025)

Online Slip Detection and Friction Coefficient Estimation for Autonomous Racing
di: Oeltjen, Christopher, et al.
Pubblicazione: (2025)

Infrastructure-Assisted Collaborative Perception in Automated Valet Parking: A Safety Perspective
di: Jia, Yukuan, et al.
Pubblicazione: (2024)

A Photorealistic Dataset and Vision-Based Algorithm for Anomaly Detection During Proximity Operations in Lunar Orbit
di: Leveugle, Selina, et al.
Pubblicazione: (2024)

GBEC: Geometry-Based Hand-Eye Calibration
di: Liu, Yihao, et al.
Pubblicazione: (2024)

Safety-Oriented Calibration and Evaluation of the Intelligent Driver Model
di: Adjenughwure, Kingsley, et al.
Pubblicazione: (2023)

Confidence-Based Skill Reproduction Through Perturbation Analysis
di: Hertel, Brendan, et al.
Pubblicazione: (2023)

The Use of Gaze-Derived Confidence of Inferred Operator Intent in Adjusting Safety-Conscious Haptic Assistance
di: Webb, Jeremy D., et al.
Pubblicazione: (2025)

HazardArena: Evaluating Semantic Safety in Vision-Language-Action Models
di: Chen, Zixing, et al.
Pubblicazione: (2026)

Assuring Safety of Vision-Based Swarm Formation Control
di: Hsieh, Chiao, et al.
Pubblicazione: (2022)

Flexible Informed Trees (FIT*): Adaptive Batch-Size Approach in Informed Sampling-Based Path Planning
di: Zhang, Liding, et al.
Pubblicazione: (2023)

Improvement on LiDAR-Camera Calibration Using Square Targets
di: Li, Zhongyuan, et al.
Pubblicazione: (2025)

Safety-Critical Control with Uncertainty Quantification using Adaptive Conformal Prediction
di: Zhou, Hao, et al.
Pubblicazione: (2024)

Radar-Inertial Odometry with Online Spatio-Temporal Calibration via Continuous-Time IMU Modeling
di: Štironja, Vlaho-Josip, et al.
Pubblicazione: (2026)