A Causal-based Approach to Explain, Predict and Prevent Failures in Robotic Tasks

12 September 2022

Papers citing "A Causal-based Approach to Explain, Predict and Prevent Failures in Robotic Tasks"

10 / 10 papers shown

Title
RAIDER: Tool-Equipped Large Language Model Agent for Robotic Action Issue Detection, Explanation and Recovery Silvia Izquierdo-Badiola Carlos Rizzo Guillem Alenyà LLMAG LM&Ro 79 0 0 22 Mar 2025
Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward Profiles Rhys Howard Nick Hawes Lars Kunze CML 59 1 0 18 Mar 2025
Robot Pouring: Identifying Causes of Spillage and Selecting Alternative Action Parameters Using Probabilistic Actual Causation Jaime Maldonado Jonas Krumme C. Zetzsche Vanessa Didelez K. Schill 98 0 0 13 Feb 2025
Bidirectional Human Interactive AI Framework for Social Robot Navigation Tuba Girgin Emre Girgin Yigit Yildirim Emre Ugur Mehmet Haklidir 29 0 0 05 Apr 2024
Learning Symbolic and Subsymbolic Temporal Task Constraints from Bimanual Human Demonstrations Christian R. G. Dreher Tamim Asfour 14 1 0 25 Mar 2024
A Human-Centered Approach for Bootstrapping Causal Graph Creation Minh Q. Tram Nolan B. Gutierrez William J. Beksi 17 0 0 03 Mar 2024
Predicting Routine Object Usage for Proactive Robot Assistance Maithili Patel Aswin Prakash Sonia Chernova AI4TS 29 8 0 12 Sep 2023
Towards Probabilistic Causal Discovery, Inference & Explanations for Autonomous Drones in Mine Surveying Tasks Ricardo Cannizzaro Rhys Howard P. Lewińska Lars Kunze 24 4 0 19 Aug 2023
Towards a Causal Probabilistic Framework for Prediction, Action-Selection & Explanations for Robot Block-Stacking Tasks Ricardo Cannizzaro Jonathan Routley Lars Kunze CML 17 6 0 11 Aug 2023
CAR-DESPOT: Causally-Informed Online POMDP Planning for Robots in Confounded Environments Ricardo Cannizzaro Lars Kunze 17 10 0 13 Apr 2023