Real-Time Anomaly Detection and Reactive Planning with Large Language
Models

Real-Time Anomaly Detection and Reactive Planning with Large Language Models

11 July 2024

Christopher Agia

Matthew Foutter

Edward Schmerling

Papers citing "Real-Time Anomaly Detection and Reactive Planning with Large Language Models"

13 / 13 papers shown

Title
Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures Junwon Seo Kensuke Nakamura Andrea V. Bajcsy 51 0 0 01 May 2025
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies Chen Xu Tony Nguyen Emma Dixon Christopher Rodriguez Patrick "Tree" Miller Robert Lee Paarth Shah Rares Ambrus Haruki Nishimura Masha Itkina OffRL 78 2 0 11 Mar 2025
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey Ruiyao Xu Kaize Ding 50 5 0 17 Feb 2025
SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models Zhiyuan Zhou Heye Huang Boqi Li Shiyue Zhao Yao Mu Jianqiang Wang 82 1 0 17 Dec 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 26 6 0 06 Oct 2024
SPINE: Online Semantic Planning for Missions with Incomplete Natural Language Specifications in Unstructured Environments Zachary Ravichandran Varun Murali Mariliza Tzes George J. Pappas Vijay Kumar LRM 51 6 0 03 Oct 2024
TypeFly: Flying Drones with Large Language Model Guojun Chen Xiaojing Yu Lin Zhong 32 8 0 08 Dec 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes Lokesh Nagalapatti Chun-Liang Li Chih-Kuan Yeh Hootan Nakhost Yasuhisa Fujii Alexander Ratner Ranjay Krishna Chen-Yu Lee Tomas Pfister ALM 204 498 0 03 May 2023
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action Dhruv Shah B. Osinski Brian Ichter Sergey Levine LM&Ro 139 430 0 10 Jul 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022
Sample-Efficient Safety Assurances using Conformal Prediction Rachel Luo Shengjia Zhao Jonathan Kuck B. Ivanovic Silvio Savarese Edward Schmerling Marco Pavone 48 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 21 40 0 05 Jan 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016