{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,18]],"date-time":"2025-04-18T05:13:00Z","timestamp":1744953180965,"version":"3.28.0"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,8,8]],"date-time":"2021-08-08T00:00:00Z","timestamp":1628380800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,8,8]],"date-time":"2021-08-08T00:00:00Z","timestamp":1628380800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,8,8]],"date-time":"2021-08-08T00:00:00Z","timestamp":1628380800000},"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":[[2021,8,8]]},"DOI":"10.1109\/ro-man50785.2021.9515548","type":"proceedings-article","created":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T18:07:53Z","timestamp":1629742073000},"page":"131-138","source":"Crossref","is-referenced-by-count":1,"title":["Learning Task Constraints in Visual-Action Planning from Demonstrations"],"prefix":"10.1109","author":[{"given":"Francesco","family":"Esposito","sequence":"first","affiliation":[]},{"given":"Christian","family":"Pek","sequence":"additional","affiliation":[]},{"given":"Michael C.","family":"Welle","sequence":"additional","affiliation":[]},{"given":"Danica","family":"Kragic","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"journal-title":"Principles of Model Checking","year":"2008","author":"baier","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1023\/A:1011254632723"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-50763-7"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-30206-3_12"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/BF01995674"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2016.7799279"},{"key":"ref16","first-page":"854","article-title":"Linear temporal logic and linear dynamic logic on finite traces","author":"de giacomo","year":"2013","journal-title":"Proc of the Int Joint Conf on Artificial Intelligence"},{"key":"ref17","first-page":"1044","article-title":"LTLf and LDLf synthesis under partial observability","volume":"2016","author":"de giacomo","year":"2016","journal-title":"IJCAI"},{"key":"ref18","article-title":"Recurrent neural networks","volume":"5","author":"medsker","year":"2001","journal-title":"Design and Applications"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref4","article-title":"Classical planning in deep latent space: Bridging the subsymbolic-symbolic boundary","volume":"32","author":"asai","year":"2018","journal-title":"Proc of the AAAI Conf on Artificial Intelligence"},{"key":"ref3","first-page":"2555","article-title":"Learning latent dynamics for planning from pixels","author":"hafner","year":"2019","journal-title":"International Conference on Machine Learning"},{"article-title":"Embed to control: A locally linear latent dynamics model for control from raw images","year":"2015","author":"watter","key":"ref6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2901898"},{"key":"ref8","first-page":"50","article-title":"Discovering interpretable representations for both deep generative and discriminative models","author":"adel","year":"2018","journal-title":"Int Conf on Machine Learning"},{"article-title":"Auto-encoding variational bayes","year":"2013","author":"kingma","key":"ref7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511810275"},{"key":"ref1","article-title":"Latent space roadmap for visual action planning of deformable and rigid object manipulation","author":"lippi","year":"2020","journal-title":"Proc of the IEEE\/RSJ International Conference on Intelligent Robots and Systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10575-8"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref22","first-page":"8024","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref21","first-page":"2016","article-title":"Pybullet, a python module for physics simulation for games, robotics and machine learning","author":"coumans","year":"0"}],"event":{"name":"2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN)","start":{"date-parts":[[2021,8,8]]},"location":"Vancouver, BC, Canada","end":{"date-parts":[[2021,8,12]]}},"container-title":["2021 30th IEEE International Conference on Robot &amp; Human Interactive Communication (RO-MAN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9515344\/9515312\/09515548.pdf?arnumber=9515548","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T11:44:55Z","timestamp":1652183095000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9515548\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,8]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/ro-man50785.2021.9515548","relation":{},"subject":[],"published":{"date-parts":[[2021,8,8]]}}}