{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T17:03:28Z","timestamp":1775667808784,"version":"3.50.1"},"reference-count":39,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T00:00:00Z","timestamp":1685318400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T00:00:00Z","timestamp":1685318400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100007297","name":"U.S. Office of Naval Research","doi-asserted-by":"publisher","award":["N00014-18-1-2503,N00014-16-1-3025"],"award-info":[{"award-number":["N00014-18-1-2503,N00014-16-1-3025"]}],"id":[{"id":"10.13039\/100007297","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,5,29]]},"DOI":"10.1109\/icra48891.2023.10160916","type":"proceedings-article","created":{"date-parts":[[2023,7,4]],"date-time":"2023-07-04T17:20:56Z","timestamp":1688491256000},"page":"12714-12720","source":"Crossref","is-referenced-by-count":4,"title":["Proficiency Self-Assessment without Breaking the Robot: Anomaly Detection using Assumption-Alignment Tracking from Safe Experiments"],"prefix":"10.1109","author":[{"given":"Xuan","family":"Cao","sequence":"first","affiliation":[{"name":"Brigham Young University,Computer Science Department,Provo,UT,USA"}]},{"given":"Jacob W.","family":"Crandall","sequence":"additional","affiliation":[{"name":"Brigham Young University,Computer Science Department,Provo,UT,USA"}]},{"given":"Ethan","family":"Pedersen","sequence":"additional","affiliation":[{"name":"Brigham Young University,Computer Science Department,Provo,UT,USA"}]},{"given":"Alvika","family":"Gautam","sequence":"additional","affiliation":[{"name":"Texas A&M University,Department of Mechanical Engineering,College Station,TX,USA"}]},{"given":"Michael A.","family":"Goodrich","sequence":"additional","affiliation":[{"name":"Brigham Young University,Computer Science Department,Provo,UT,USA"}]}],"member":"263","reference":[{"key":"ref13","article-title":"Toward estimating task execution confidence for robotic bin-picking applications","author":"kaipa","year":"2015","journal-title":"2015 AAAI Fall Symposium Series"},{"key":"ref35","first-page":"4393","article-title":"Deep one-class classification","author":"ruff","year":"2018","journal-title":"International Conference on Machine Learning"},{"key":"ref12","first-page":"399","article-title":"Models for diagnosis and detection of combinations of diseases","author":"habbema","year":"1976","journal-title":"Decision Making and Medical Care"},{"key":"ref34","first-page":"226","article-title":"A density-based algorithm for discovering clusters in large spatial databases with noise","volume":"96","author":"ester","year":"1996","journal-title":"KDD"},{"key":"ref15","article-title":"Assurances and machine self-confidence for enhanced trust in autonomous systems","author":"aitken","year":"0","journal-title":"RSS 2016 Workshop on Social Trust in Autonomous Systems"},{"key":"ref37","author":"abadi","year":"2015","journal-title":"TensorFlow Large-Scale Machine Learning on Heterogeneous Systems"},{"key":"ref14","author":"aitken","year":"2016","journal-title":"Assured human-autonomy interaction through machine self-confidence"},{"key":"ref36","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/0377-0427(87)90125-7"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2016.04.001"},{"key":"ref11","article-title":"An approximation of surprise index as a measure of confidence","author":"zagorecki","year":"2015","journal-title":"2015 AAAI Fall Symposium Series"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1162\/089976601750264965"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.2514\/6.2016-1651"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-01973-9_64"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2013.6631221"},{"key":"ref1","first-page":"108","article-title":"Self-assessment of proficiency of intelligent systems: Challenges and opportunities","author":"gautam","year":"2020","journal-title":"International Conference on Applied Human Factors and Ergonomics"},{"key":"ref17","author":"israelsen","year":"2019","journal-title":"Algorithmic assurances and self-assessment of competency boundaries in autonomous systems"},{"key":"ref39","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"ArXiv Preprint"},{"key":"ref16","first-page":"213","article-title":"Machine self-confidence in autonomous systems via meta-analysis of decision processes","author":"israelsen","year":"2019","journal-title":"International Conference on Applied Human Factors and Ergonomics"},{"key":"ref38","article-title":"Imaging time-series to improve classification and imputation","author":"wang","year":"2015","journal-title":"Twenty-Fourth International Joint Conference on Artificial Intelligence"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1177\/0278364915587924"},{"key":"ref18","author":"morris","year":"2007","journal-title":"Robotic introspection for exploration and mapping of subterranean environments ProQuest"},{"key":"ref24","article-title":"Robotic self-assessment of competence","author":"burghouts","year":"2020","journal-title":"Proceedings of the HRI 2020 Work-shop on Assessing Explaining and Conveying Robot Proficiency for Human-Robot Teaming)"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/WI-IAT.2013.157"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2000.846370"},{"key":"ref25","article-title":"can you do this?” self-assessment dialogues with autonomous robots before, during, and after a mission","author":"frasca","year":"2020","journal-title":"Proceedings of the HRI 2020 Workshop on Assessing Explaining and Conveying Robot Proficiency for Human-Robot Teaming)"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-28872-7_26"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/IV47402.2020.9304844"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2016.7759279"},{"key":"ref28","article-title":"A hybrid approach for fault detection in autonomous physical agents","author":"khalastchi","year":"2014","journal-title":"BEN-GURION UNIV OF THE NEGEV BEERSHEBA (ISRAEL)"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-007-9060-9"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.03.058"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1177\/1541931215591057"},{"key":"ref7","article-title":"A factor-based framework for decision-making competency self-assessment","author":"israelsen","year":"2022","journal-title":"Closing the Assessment Loop Communicating Proficiency and Intent in Human-Robot Teaming"},{"key":"ref9","article-title":"Computational mechanisms to support reporting of self confidence of automated\/autonomous systems","author":"kuter","year":"2015","journal-title":"2015 AAAI Fall Symposium Series"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3434074.3447181"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/AERO.2009.4839310"},{"key":"ref6","year":"2019","journal-title":"Rethink RoboticsTM"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812030"}],"event":{"name":"2023 IEEE International Conference on Robotics and Automation (ICRA)","location":"London, United Kingdom","start":{"date-parts":[[2023,5,29]]},"end":{"date-parts":[[2023,6,2]]}},"container-title":["2023 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10160211\/10160212\/10160916.pdf?arnumber=10160916","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,24]],"date-time":"2023-07-24T17:31:18Z","timestamp":1690219878000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10160916\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,29]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/icra48891.2023.10160916","relation":{},"subject":[],"published":{"date-parts":[[2023,5,29]]}}}