Robot Proficiency Self-Assessment Using Assumption-Alignment Tracking

Author:

Cao Xuan1ORCID,Gautam Alvika2,Whiting Tim1ORCID,Smith Skyler1,Goodrich Michael A.1,Crandall Jacob W.1ORCID

Affiliation:

1. Computer Science Department, Brigham Young University, Provo, UT, USA

2. Department of Mechanical Engineering, Texas A&M University, College Station, TX, USA

Funder

Office of Naval Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference65 articles.

1. Robotic self-assessment of competence;burghouts;Proc HRI Workshop Assessing Explaining Conveying Robot Proficiency Hum -Robot Teaming,0

2. Rethink robotics,2019

3. Towards Autonomously Predicting and Learning a Robot's Efficiency in Performing Tasks

4. Computing agent competency in first order Markov processes;cao,2021

5. Knowing when we don't know: Introspective classification for mission-critical decision making

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1. Learning Self-Confidence from Semantic Action Embeddings for Improved Trust in Human-Robot Interaction;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Reactive or Proactive? How Robots Should Explain Failures;Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction;2024-03-11

3. A Survey of Algorithmic Methods for Competency Self-Assessments in Human-Autonomy Teaming;ACM Computing Surveys;2023-08-14

4. Improving Robot Proficiency Self-Assessment Via Meta-Assessment;IEEE Robotics and Automation Letters;2023

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