Closing the Loop on Runtime Monitors with Fallback-Safe MPC

15 September 2023

Papers citing "Closing the Loop on Runtime Monitors with Fallback-Safe MPC"

14 / 14 papers shown

Title
Real-Time Out-of-Distribution Failure Prevention via Multi-Modal Reasoning Milan Ganai Rohan Sinha Christopher Agia Daniel Morton Marco Pavone OffRL LRM AI4CE 37 0 0 15 May 2025
Multi-Task Interactive Robot Fleet Learning with Visual World Models Huihan Liu Yu Zhang Vaarij Betala Evan Zhang James Liu Crystal Ding Bo Li 55 5 0 30 Oct 2024
Formal Verification and Control with Conformal Prediction Lars Lindemann Yiqi Zhao Xinyi Yu George J. Pappas Jyotirmoy V. Deshmukh 78 15 0 31 Aug 2024
Diagnostic Runtime Monitoring with Martingales Ali Hindy Rachel Luo Somrita Banerjee Jonathan Kuck Edward Schmerling Marco Pavone OOD 37 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 27 0 11 Jul 2024
Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception Anushri Dixit Zhiting Mei Meghan Booker Mariko Storey-Matsutani Mariko Storey-Matsutani Allen Z. Ren Ola Shorinwa Anirudha Majumdar 36 5 0 13 Mar 2024
Model-Based Runtime Monitoring with Interactive Imitation Learning Huihan Liu Shivin Dass Roberto Martín-Martín Yuke Zhu 49 20 0 26 Oct 2023
Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions Jordan Lekeufack Anastasios Nikolas Angelopoulos Andrea V. Bajcsy Michael I. Jordan Jitendra Malik OffRL 34 29 0 09 Oct 2023
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 193 879 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 42 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 343 1,963 0 04 May 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,683 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015