{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T20:31:39Z","timestamp":1774729899991,"version":"3.50.1"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,5]]},"DOI":"10.1109\/icra.2019.8794104","type":"proceedings-article","created":{"date-parts":[[2019,8,13]],"date-time":"2019-08-13T01:26:12Z","timestamp":1565659572000},"page":"7791-7797","source":"Crossref","is-referenced-by-count":70,"title":["Learning Behavior Trees From Demonstration"],"prefix":"10.1109","author":[{"given":"Kevin","family":"French","sequence":"first","affiliation":[]},{"given":"Shiyu","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Tianyang","family":"Pan","sequence":"additional","affiliation":[]},{"given":"Zheming","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Odest Chadwicke","family":"Jenkins","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","author":"breiman","year":"1984","journal-title":"Classi?cation and Regression Trees ser The Wadsworth and Brooks-Cole statistics-probability series"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/SEFM.2003.1236202"},{"key":"ref12","article-title":"Trained behavior trees: Programming by demonstration to support ai game designers","author":"sagredo-olivenza","year":"2017","journal-title":"IEEE Trans Games"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2016.2633567"},{"key":"ref14","volume":"qc 20170308","author":"colledanchise","year":"2017","journal-title":"Behavior trees in robotics"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7140065"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1002\/j.1538-7305.1956.tb03835.x"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4613-2821-6"},{"key":"ref18","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":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2012.6386195"},{"key":"ref4","first-page":"407","author":"grollman","year":"2010","journal-title":"Can We Learn Finite State Machine Robot Controllers from Interactive Demonstration?"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/1957656.1957788"},{"key":"ref6","author":"zeng","year":"0","journal-title":"Scene-level Programming by Demonstration"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1613\/jair.5575"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2014.6907656"},{"key":"ref7","first-page":"1","article-title":"Con?dence-based policy learning from demonstration using Gaussian mixture models","volume":"5","author":"chernova","year":"2007","journal-title":"Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems - AAMAS ’07"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1177\/0278364914554471"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2008.10.024"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v35i4.2478"},{"key":"ref20","first-page":"91","article-title":"Faster r-cnn: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref21","first-page":"623","article-title":"Localizing handle-like grasp affordances in 3d point clouds","author":"ten pas","year":"2016","journal-title":"Experimental Robotics"}],"event":{"name":"2019 International Conference on Robotics and Automation (ICRA)","location":"Montreal, QC, Canada","start":{"date-parts":[[2019,5,20]]},"end":{"date-parts":[[2019,5,24]]}},"container-title":["2019 International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8780387\/8793254\/08794104.pdf?arnumber=8794104","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T03:10:23Z","timestamp":1657854623000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8794104\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/icra.2019.8794104","relation":{},"subject":[],"published":{"date-parts":[[2019,5]]}}}