{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T23:58:18Z","timestamp":1780444698789,"version":"3.54.1"},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2017,7,8]],"date-time":"2017-07-08T00:00:00Z","timestamp":1499472000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2017,7,8]],"date-time":"2017-07-08T00:00:00Z","timestamp":1499472000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1317462"],"award-info":[{"award-number":["1317462"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Auton Robot"],"published-print":{"date-parts":[[2018,3]]},"DOI":"10.1007\/s10514-017-9655-8","type":"journal-article","created":{"date-parts":[[2017,7,8]],"date-time":"2017-07-08T12:55:54Z","timestamp":1499518554000},"page":"631-648","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":61,"title":["Unsupervised early prediction of human reaching for human\u2013robot collaboration in shared workspaces"],"prefix":"10.1007","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3310-6381","authenticated-orcid":false,"given":"Ruikun","family":"Luo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rafi","family":"Hayne","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dmitry","family":"Berenson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2017,7,8]]},"reference":[{"key":"9655_CR1","unstructured":"Barras, C., Meignier, S., & Gauvain, J. L. (2004). Unsupervised online adaptation for speaker verification over the telephone. In: The speaker and language recognition workshop."},{"key":"9655_CR2","first-page":"3601","volume":"4","author":"M Bennewitz","year":"2002","unstructured":"Bennewitz, M., Burgard, W., & Thrun, S. (2002). Learning motion patterns of persons for mobile service robots. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 4, 3601\u20133606.","journal-title":"Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)"},{"key":"9655_CR3","unstructured":"Bruce, A., & Gordon, G. (2004). Better motion prediction for people-tracking. In: Proceedings of the IEEE International Conference on Robotics and Automation(ICRA)."},{"key":"9655_CR4","volume-title":"Robot programming by demonstration: A probabilistic approach","author":"S Calinon","year":"2009","unstructured":"Calinon, S. (2009). Robot programming by demonstration: A probabilistic approach. Lausanne: EPFL Press."},{"key":"9655_CR5","doi-asserted-by":"crossref","unstructured":"Calinon, S., & Billard, A. (2007). Incremental learning of gestures by imitation in a humanoid robot. In: Proceedings of the ACM\/IEEE International Conference on Human-robot Interaction, pp. 255\u2013262.","DOI":"10.1145\/1228716.1228751"},{"key":"9655_CR6","doi-asserted-by":"crossref","unstructured":"Cederborg, T., Li, M., Baranes, A., & Oudeyer, P.Y. (2010). Incremental local online gaussian mixture regression for imitation learning of multiple tasks. In: Proceedings of the IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 267\u2013274.","DOI":"10.1109\/IROS.2010.5652040"},{"key":"9655_CR7","unstructured":"Jiang, Y., & Saxena, A. (2014). Modeling high-dimensional humans for activity anticipation using gaussian process latent CRFs. In: Robotics: Science and systems."},{"key":"9655_CR8","doi-asserted-by":"crossref","unstructured":"Kalakrishnan, M., Chitta, S., Theodorou, E., Pastor, P., & Schaal, S. (2011). STOMP: Stochastic trajectory optimization for motion planning. In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp. 4569\u20134574.","DOI":"10.1109\/ICRA.2011.5980280"},{"key":"9655_CR9","unstructured":"Koppula, H. S., & Saxena, A. (2013). Learning spatio-temporal structure from rgb-d videos for human activity detection and anticipation. In: Proceedings of the 30th International Conference on Machine Learning (ICML), pp. 792\u2013800."},{"issue":"1","key":"9655_CR10","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1109\/TPAMI.2015.2430335","volume":"38","author":"HS Koppula","year":"2016","unstructured":"Koppula, H. S., & Saxena, A. (2016). Anticipating human activities using object affordances for reactive robotic response. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(1), 14\u201329.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"8","key":"9655_CR11","doi-asserted-by":"publisher","first-page":"951","DOI":"10.1177\/0278364913478446","volume":"32","author":"HS Koppula","year":"2013","unstructured":"Koppula, H. S., Gupta, R., & Saxena, A. (2013). Learning human activities and object affordances from rgb-d videos. The International Journal of Robotics Research, 32(8), 951\u2013970.","journal-title":"The International Journal of Robotics Research"},{"issue":"3","key":"9655_CR12","doi-asserted-by":"crossref","first-page":"330","DOI":"10.1177\/0278364911426178","volume":"31","author":"D Kuli\u0107","year":"2011","unstructured":"Kuli\u0107, D., Ott, C., Lee, D., Ishikawa, J., & Nakamura, Y. (2011). Incremental learning of full body motion primitives and their sequencing through human motion observation. The International Journal of Robotics Research, 31(3), 330\u2013345.","journal-title":"The International Journal of Robotics Research"},{"key":"9655_CR13","doi-asserted-by":"crossref","unstructured":"Luo, R., & Berenson, D. (2015). A framework for unsupervised online human reaching motion recognition and early prediction. In: Proceedings of the IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2426\u20132433.","DOI":"10.1109\/IROS.2015.7353706"},{"key":"9655_CR14","unstructured":"Luo, R., Hayne, R., & Berenson, D. (2016). Early prediction of human reaching motion for long-term human-robot collaboration. In: AI for long-term autonomy workshop at IEEE International Conference on Robotics and Automation (ICRA)"},{"key":"9655_CR15","doi-asserted-by":"crossref","unstructured":"Maeda, G. J., Neumann, G., Ewerton, M., Lioutikov, R., Kroemer, O., & Peters, J. (2017). Probabilistic movement primitives for coordination of multiple human\u2013robot collaborative tasks. Autonomous Robots, 41(3), 593\u2013612.","DOI":"10.1007\/s10514-016-9556-2"},{"key":"9655_CR16","doi-asserted-by":"crossref","unstructured":"Mainprice, J., & Berenson, D. (2013). Human-robot collaborative manipulation planning using early prediction of human motion. In: Proceedings of the IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 299\u2013306","DOI":"10.1109\/IROS.2013.6696368"},{"key":"9655_CR17","doi-asserted-by":"crossref","unstructured":"Mainprice, J., Hayne, R., & Berenson, D. (2015). Predicting human reaching motion in collaborative tasks using inverse optimal control and iterative re-planning. In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp. 885\u2013892.","DOI":"10.1109\/ICRA.2015.7139282"},{"key":"9655_CR18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74048-3_4","volume-title":"Dynamic Time Warping","author":"M M\u00fcller","year":"2007","unstructured":"M\u00fcller, M. (2007). Dynamic Time Warping. Berlin: Springer."},{"key":"9655_CR19","doi-asserted-by":"crossref","unstructured":"Nyga, D., Tenorth, M., & Beetz, M. (2011). How-models of human reaching movements in the context of everyday manipulation activities. In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp. 6221\u20136226.","DOI":"10.1109\/ICRA.2011.5979933"},{"key":"9655_CR20","doi-asserted-by":"crossref","unstructured":"Perez-D\u2019Arpino, C., & Shah, J. A. (2015). Fast target prediction of human reaching motion for cooperative human-robot manipulation tasks using time series classification. In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp. 6175\u20136182.","DOI":"10.1109\/ICRA.2015.7140066"},{"key":"9655_CR21","unstructured":"Ravichandar, H. C., & Dani, A. (2015). Human intention inference and motion modeling using approximate em with online learning. In: Proceedings of the IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1819\u20131824."},{"key":"9655_CR22","doi-asserted-by":"crossref","unstructured":"Sung, C., Feldman, D., & Rus, D. (2012a). Trajectory clustering for motion prediction. In: Proceedings of the IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1547\u20131552.","DOI":"10.1109\/IROS.2012.6386017"},{"key":"9655_CR23","doi-asserted-by":"crossref","unstructured":"Sung, J., Ponce, C., Selman, B., & Saxena, A. (2012b). Unstructured human activity detection from rgb-d images. In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp. 842\u2013849.","DOI":"10.1109\/ICRA.2012.6224591"},{"key":"9655_CR24","doi-asserted-by":"crossref","unstructured":"Weinrich, C., Volkhardt, M., Einhorn, E., & Gross, H. M. (2013). Prediction of human collision avoidance behavior by lifelong learning for socially compliant robot navigation. In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp. 376\u2013381.","DOI":"10.1109\/ICRA.2013.6630603"},{"issue":"5","key":"9655_CR25","doi-asserted-by":"publisher","first-page":"981","DOI":"10.1016\/j.jbiomech.2004.05.042","volume":"38","author":"G Wu","year":"2005","unstructured":"Wu, G., Van der Helm, F. C., Veeger, H. D., Makhsous, M., Van Roy, P., Anglin, C., et al. (2005). ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion part ii: shoulder, elbow, wrist and hand. Journal of Biomechanics, 38(5), 981\u2013992.","journal-title":"Journal of Biomechanics"},{"key":"9655_CR26","doi-asserted-by":"crossref","unstructured":"Xia, L., Chen, C. C., & Aggarwal, J. (2012). View invariant human action recognition using histograms of 3d joints. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 20\u201327.","DOI":"10.1109\/CVPRW.2012.6239233"},{"key":"9655_CR27","doi-asserted-by":"crossref","unstructured":"Zhang, H., & Parker, L. E. (2011). 4-dimensional local spatio-temporal features for human activity recognition. In: Proceedings of the IEEE\/RSJ international conference on Intelligent robots and systems (IROS), pp. 2044\u20132049.","DOI":"10.1109\/IROS.2011.6094489"},{"issue":"6","key":"9655_CR28","doi-asserted-by":"publisher","first-page":"735","DOI":"10.1016\/j.patrec.2007.12.006","volume":"29","author":"Y Zhang","year":"2008","unstructured":"Zhang, Y., & Scordilis, M. S. (2008). Effective online unsupervised adaptation of Gaussian mixture models and its application to speech classification. Pattern Recognition Letters, 29(6), 735\u2013744.","journal-title":"Pattern Recognition Letters"},{"key":"9655_CR29","unstructured":"Zhao, Y., Liu, Z., Yang, L., & Cheng, H. (2012). Combing rgb and depth map features for human activity recognition. In: Proceedings of the Asia-Pacific Signal Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 1\u20134."}],"container-title":["Autonomous Robots"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10514-017-9655-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10514-017-9655-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10514-017-9655-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,21]],"date-time":"2025-06-21T17:11:04Z","timestamp":1750525864000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10514-017-9655-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,7,8]]},"references-count":29,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2018,3]]}},"alternative-id":["9655"],"URL":"https:\/\/doi.org\/10.1007\/s10514-017-9655-8","relation":{},"ISSN":["0929-5593","1573-7527"],"issn-type":[{"value":"0929-5593","type":"print"},{"value":"1573-7527","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,7,8]]},"assertion":[{"value":"14 July 2016","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 June 2017","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 July 2017","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}