A System-Level View on Out-of-Distribution Data in Robotics

28 December 2022

Papers citing "A System-Level View on Out-of-Distribution Data in Robotics"

28 / 28 papers shown

Title
Real-Time Out-of-Distribution Failure Prevention via Multi-Modal Reasoning Milan Ganai Rohan Sinha Christopher Agia D. Morton Marco Pavone OffRL LRM AI4CE 27 0 0 15 May 2025
Vision Foundation Model Embedding-Based Semantic Anomaly Detection M. Ronecker Matthew Foutter Amine Elhafsi Daniele Gammelli Ihor Barakaiev Marco Pavone Daniel Watzenig 29 0 0 12 May 2025
Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures Junwon Seo Kensuke Nakamura Andrea V. Bajcsy 56 0 0 01 May 2025
First, Learn What You Don't Know: Active Information Gathering for Driving at the Limits of Handling Alexander Davydov Franck Djeumou Marcus Greiff Makoto Suminaka Michael Thompson John Subosits Thomas Lew 53 0 0 31 Oct 2024
Multi-Task Interactive Robot Fleet Learning with Visual World Models Huihan Liu Yu Zhang Vaarij Betala Evan Zhang James Liu Crystal Ding Bo Li 47 5 0 30 Oct 2024
Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress Christopher Agia Rohan Sinha Jingyun Yang Zi-ang Cao Rika Antonova Marco Pavone Jeannette Bohg 28 7 0 06 Oct 2024
Diagnostic Runtime Monitoring with Martingales Ali Hindy Rachel Luo Somrita Banerjee Jonathan Kuck Edward Schmerling Marco Pavone OOD 29 1 0 31 Jul 2024
Real-Time Anomaly Detection and Reactive Planning with Large Language Models Rohan Sinha Amine Elhafsi Christopher Agia Matthew Foutter Edward Schmerling Marco Pavone OffRL LRM 45 26 0 11 Jul 2024
Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving Ran Tian Boyi Li Xinshuo Weng Yuxiao Chen Edward Schmerling Yue Wang Boris Ivanovic Marco Pavone 44 13 0 01 Jul 2024
Risk-Aware Robotics: Tail Risk Measures in Planning, Control, and Verification Prithvi Akella Anushri Dixit M. Ahmadi Lars Lindemann Margaret P. Chapman George J. Pappas Aaron D. Ames J. W. Burdick 32 5 0 27 Mar 2024
Privacy-Preserving Map-Free Exploration for Confirming the Absence of a Radioactive Source Eric Lepowsky David Snyder Alexander Glaser Anirudha Majumdar 37 0 0 27 Feb 2024
Foundation Models in Robotics: Applications, Challenges, and the Future Roya Firoozi Johnathan Tucker Stephen Tian Anirudha Majumdar Jiankai Sun ... Brian Ichter Danny Driess Jiajun Wu Cewu Lu Mac Schwager LM&Ro AI4CE LRM VLM 37 140 0 13 Dec 2023
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning Jianxiang Feng Jongseok Lee Simon Geisler Stephan Gunnemann Rudolph Triebel OODD 32 4 0 11 Nov 2023
Model-Based Runtime Monitoring with Interactive Imitation Learning Huihan Liu Shivin Dass Roberto Martín-Martín Yuke Zhu 37 19 0 26 Oct 2023
Detecting and Mitigating System-Level Anomalies of Vision-Based Controllers Aryaman Gupta Kaustav Chakraborty Somil Bansal 26 5 0 23 Sep 2023
Closing the Loop on Runtime Monitors with Fallback-Safe MPC Rohan Sinha Edward Schmerling Marco Pavone 25 10 0 15 Sep 2023
Out of Distribution Detection via Domain-Informed Gaussian Process State Space Models Alonso Marco Elias Morley Claire Tomlin 26 2 0 13 Sep 2023
Distributionally Robust Statistical Verification with Imprecise Neural Networks Souradeep Dutta Michele Caprio Vivian Lin Matthew Cleaveland Kuk Jin Jang I. Ruchkin O. Sokolsky Insup Lee OOD AAML 49 7 0 28 Aug 2023
Density-based Feasibility Learning with Normalizing Flows for Introspective Robotic Assembly Jianxiang Feng Matan Atad Ismael Rodríguez M. Durner Stephan Günnemann Rudolph Triebel 29 2 0 03 Jul 2023
Semantic Anomaly Detection with Large Language Models Amine Elhafsi Rohan Sinha Christopher Agia Edward Schmerling I. Nesnas Marco Pavone 34 64 0 18 May 2023
Online Distribution Shift Detection via Recency Prediction Rachel Luo Rohan Sinha Yixiao Sun Ali Hindy Shengjia Zhao Silvio Savarese Edward Schmerling Marco Pavone 20 9 0 17 Nov 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 877 0 21 Oct 2021
Sample-Efficient Safety Assurances using Conformal Prediction Rachel Luo Shengjia Zhao Jonathan Kuck Boris Ivanovic Silvio Savarese Edward Schmerling Marco Pavone 58 56 0 28 Sep 2021
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends Q. Rahman Peter Corke Feras Dayoub OOD 27 51 0 05 Jan 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,955 0 04 May 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015