Recover: A Neuro-Symbolic Framework for Failure Detection and Recovery

31 March 2024

Papers citing "Recover: A Neuro-Symbolic Framework for Failure Detection and Recovery"

7 / 7 papers shown

Title
A Unified Framework for Real-Time Failure Handling in Robotics Using Vision-Language Models, Reactive Planner and Behavior Trees Faseeh Ahmad Hashim Ismail Jonathan Styrud Maj Stenmark Volker Krueger 41 0 0 19 Mar 2025
NeSyC: A Neuro-symbolic Continual Learner For Complex Embodied Tasks In Open Domains Wonje Choi Jinwoo Park Sanghyun Ahn Daehee Lee Honguk Woo 104 1 0 02 Mar 2025
Out-of-Distribution Recovery with Object-Centric Keypoint Inverse Policy for Visuomotor Imitation Learning George Jiayuan Gao Tianyu Li Nadia Figueroa 36 0 0 05 Nov 2024
ReAct: Synergizing Reasoning and Acting in Language Models Shunyu Yao Jeffrey Zhao Dian Yu Nan Du Izhak Shafran Karthik Narasimhan Yuan Cao LLMAG ReLM LRM 233 2,477 0 06 Oct 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 297 3,236 0 21 Mar 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 320 8,448 0 28 Jan 2022
Semantic-Based Explainable AI: Leveraging Semantic Scene Graphs and Pairwise Ranking to Explain Robot Failures Devleena Das Sonia Chernova 23 20 0 08 Aug 2021