{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:14:10Z","timestamp":1740100450038,"version":"3.37.3"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,11,26]],"date-time":"2021-11-26T00:00:00Z","timestamp":1637884800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,11,26]],"date-time":"2021-11-26T00:00:00Z","timestamp":1637884800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,11,26]],"date-time":"2021-11-26T00:00:00Z","timestamp":1637884800000},"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":[[2021,11,26]]},"DOI":"10.1109\/m2vip49856.2021.9665135","type":"proceedings-article","created":{"date-parts":[[2022,1,7]],"date-time":"2022-01-07T20:42:25Z","timestamp":1641588145000},"page":"334-339","source":"Crossref","is-referenced-by-count":1,"title":["A Heuristic Algorithm with Falling Prediction Mechanism for Pose Planning in Irregular Objects Oriented Vertical Stacking Task"],"prefix":"10.1109","author":[{"given":"Junnan","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianhua","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s11269-017-1595-8"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794074"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1177\/0278364919887447"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3015448"},{"article-title":"Transporter networks: Rearranging the visual world for robotic manipulation[J]","year":"2020","author":"zeng","key":"ref13"},{"article-title":"Pick and Place Objects in a Cluttered Scene Using Deep Reinforcement Learning[J]","year":"0","author":"mohammed","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967946"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989272"},{"key":"ref17","article-title":"Planning for robotic dry stacking with irregular stones[J]","author":"liu","year":"2019","journal-title":"Field and Service Robotics"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197372"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1306572110"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCA.2009.2029559"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2743240"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.aau8479"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.14313\/JAMRIS_3-2018\/15"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8463162"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2008.4761297"},{"article-title":"Distributed Deep Reinforcement Learning: An Overview[J]","year":"2020","author":"samsami","key":"ref5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/SII46433.2020.9025873"},{"article-title":"Data-efficient deep reinforcement learning for dexterous manipulation[J]","year":"2017","author":"popov","key":"ref7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-99492-5_13"},{"article-title":"Transferring end-to-end visuomotor control from simulation to real world for a multi-stage task[J]","year":"2017","author":"james","key":"ref9"},{"article-title":"Deep reinforcement learning: An overview[J]","year":"2017","author":"li","key":"ref1"},{"article-title":"A compositional object-based approach to learning physical dynamics[J]","year":"2016","author":"chang","key":"ref20"},{"article-title":"Interaction networks for learning about objects, relations and physics[J]","year":"2016","author":"battaglia","key":"ref22"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1017\/S0140525X16001837"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s41693-020-00037-6"},{"key":"ref23","article-title":"Towards automating construction tasks: Large-scale object mapping, segmentation, and manipulation[J]","author":"mascaro","year":"2020","journal-title":"Journal of Field Robotics"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_43"},{"article-title":"To fall or not to fall: A visual approach to physical stability prediction[J]","year":"2016","author":"li","key":"ref25"}],"event":{"name":"2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","start":{"date-parts":[[2021,11,26]]},"location":"Shanghai, China","end":{"date-parts":[[2021,11,28]]}},"container-title":["2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9664973\/9664984\/09665135.pdf?arnumber=9665135","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:56:48Z","timestamp":1652201808000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9665135\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,26]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/m2vip49856.2021.9665135","relation":{},"subject":[],"published":{"date-parts":[[2021,11,26]]}}}