{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,10]],"date-time":"2025-06-10T04:32:50Z","timestamp":1749529970273,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,9]]},"DOI":"10.1109\/iros.2017.8206442","type":"proceedings-article","created":{"date-parts":[[2017,12,14]],"date-time":"2017-12-14T22:12:59Z","timestamp":1513289579000},"page":"5541-5548","source":"Crossref","is-referenced-by-count":5,"title":["Robots that anticipate pain: Anticipating physical perturbations from visual cues through deep predictive models"],"prefix":"10.1109","author":[{"given":"Indranil","family":"Sur","sequence":"first","affiliation":[]},{"given":"Heni","family":"Ben Amor","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1080\/01691864.2014.981292"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2016.2536360"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2016.2581216"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7140066"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2014.6907265"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-54190-7_9"},{"key":"ref16","first-page":"82","article-title":"Recurrent convolutional neural networks for scene labeling","author":"pinheiro","year":"2014","journal-title":"ICML"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298878"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ROBIO.2009.4913101"},{"journal-title":"From motor babbling to hierarchical learning by imitation a robot developmental pathway","year":"2005","author":"demiris","key":"ref19"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2008.4650764"},{"journal-title":"Deep Inside Convolutional Networks Visualising Image Classification Models and Saliency Maps","year":"2013","author":"simonyan","key":"ref27"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2006.282053"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.1998.680888"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/AIM.2001.936882"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/HUMANOIDS.2014.7041459"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/41.222648"},{"journal-title":"Towards Safe Robots Approaching Asimovs 1st Law","year":"2013","author":"haddadin","key":"ref2"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ROMAN.2014.6926317"},{"journal-title":"I Robot","year":"1950","author":"asimov","key":"ref1"},{"journal-title":"Improving Neural Networks by Preventing Coadaptation of Feature Detectors","year":"2012","author":"hinton","key":"ref20"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref21","volume":"2","author":"gal","year":"2015","journal-title":"Dropout as a bayesian approximation Representing model uncertainty in deep learning"},{"key":"ref24","first-page":"802","article-title":"Convolutional lstm network: A machine learning approach for precipitation nowcasting","author":"xingjian","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref26","first-page":"807","article-title":"Rectified linear units improve restricted boltzmann machines","author":"nair","year":"2010","journal-title":"Proceedings of the 27th International Conference on Machine Learning (ICML-10)"},{"journal-title":"Neural gpus learn algorithms","year":"2015","author":"kaiser","key":"ref25"}],"event":{"name":"2017 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","start":{"date-parts":[[2017,9,24]]},"location":"Vancouver, BC","end":{"date-parts":[[2017,9,28]]}},"container-title":["2017 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8119304\/8202121\/08206442.pdf?arnumber=8206442","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,1,23]],"date-time":"2018-01-23T20:34:44Z","timestamp":1516739684000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8206442\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,9]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/iros.2017.8206442","relation":{},"subject":[],"published":{"date-parts":[[2017,9]]}}}