{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T21:24:11Z","timestamp":1769203451912,"version":"3.49.0"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,9,27]],"date-time":"2021-09-27T00:00:00Z","timestamp":1632700800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,9,27]],"date-time":"2021-09-27T00:00:00Z","timestamp":1632700800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,27]],"date-time":"2021-09-27T00:00:00Z","timestamp":1632700800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9,27]]},"DOI":"10.1109\/iros51168.2021.9636467","type":"proceedings-article","created":{"date-parts":[[2021,12,16]],"date-time":"2021-12-16T20:45:38Z","timestamp":1639687538000},"page":"5136-5143","source":"Crossref","is-referenced-by-count":58,"title":["Robust Feedback Motion Policy Design Using Reinforcement Learning on a 3D Digit Bipedal Robot"],"prefix":"10.1109","author":[{"given":"Guillermo A.","family":"Castillo","sequence":"first","affiliation":[]},{"given":"Bowen","family":"Weng","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Ayonga","family":"Hereid","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989397"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793627"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793864"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197175"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.abc5986"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8968053"},{"key":"ref16","article-title":"Sim-to-real learning of all common bipedal gaits via periodic reward composition","author":"siekmann","year":"2020"},{"key":"ref17","article-title":"Building Robots That Can Go Where We Go","author":"hurst","year":"2019","journal-title":"IEEE Spectrum Technology Engineering and Science News"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8202230"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2012.6386109"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487279"},{"key":"ref3","article-title":"Optimal robust safety-critical control for dynamic robotics","author":"nguyen","year":"2020"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/HUMANOIDS.2018.8625045"},{"key":"ref5","article-title":"Continuous control with deep reinforcement learning","author":"lillicrap","year":"2015"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2004.1307522"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.14115"},{"key":"ref2","article-title":"Underactuated motion planning and control for jumping with wheeled-bipedal robots","author":"chen","year":"2020","journal-title":"IEEE l of Robotics and Automation"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989401"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2005.1570469"},{"key":"ref20","article-title":"Evolution strategies as a scalable alternative to reinforcement learning","author":"salimans","year":"2017"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2016.2582731"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.23919\/ACC.2019.8814833"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1115\/DSCC2015-9899"}],"event":{"name":"2021 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","location":"Prague, Czech Republic","start":{"date-parts":[[2021,9,27]]},"end":{"date-parts":[[2021,10,1]]}},"container-title":["2021 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9635848\/9635849\/09636467.pdf?arnumber=9636467","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:54:43Z","timestamp":1652201683000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9636467\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,27]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/iros51168.2021.9636467","relation":{},"subject":[],"published":{"date-parts":[[2021,9,27]]}}}