{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:28:09Z","timestamp":1730266089251,"version":"3.28.0"},"reference-count":23,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7]]},"DOI":"10.1109\/ijcnn.2018.8489273","type":"proceedings-article","created":{"date-parts":[[2018,10,19]],"date-time":"2018-10-19T22:25:09Z","timestamp":1539987909000},"page":"1-7","source":"Crossref","is-referenced-by-count":0,"title":["DRL Based Intelligent Joint Manipulator and Viewing Camera Control for Reaching Tasks and Environments with Obstacles and Occluders"],"prefix":"10.1109","author":[{"given":"Edward W.","family":"Staley","sequence":"first","affiliation":[]},{"given":"Kapil D.","family":"Katyal","sequence":"additional","affiliation":[]},{"given":"Philippe","family":"Burlina","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","article-title":"Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection","author":"levine","year":"2016","journal-title":"arXiv preprint arXiv 1603 02895"},{"key":"ref11","article-title":"Ssd: Single shot multibox detector","author":"liu","year":"2015","journal-title":"arXiv preprint arXiv 1512 00327"},{"key":"ref12","article-title":"Deep predictive coding networks for video prediction and unsupervised learning","author":"lotter","year":"2016","journal-title":"arXiv preprint arXiv 1605 08104"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"1150","DOI":"10.1109\/ICCV.1999.790410","article-title":"Object recognition from local scale-invariant features","volume":"2","author":"lowe","year":"1999","journal-title":"Computer Vision 1999 The Proceedings of the Seventh IEEE International Conference on"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/34.134043"},{"key":"ref15","article-title":"Playing atari with deep reinforcement learning","author":"mnih","year":"2013","journal-title":"NIPS Deep Learning Workshop"},{"journal-title":"A Mathematical Introduction to Robotic Manipulation","year":"1994","author":"murray","key":"ref16"},{"key":"ref17","article-title":"Learning to imagine manipulation goals for robot task planning","volume":"abs 1711 2783","author":"paxton","year":"2017","journal-title":"CoRR"},{"key":"ref18","article-title":"Unsupervised learning from continuous video in a scalable predictive recurrent network","author":"piekniewski","year":"2016","journal-title":"arXiv preprint arXiv 1607 06854"},{"key":"ref19","article-title":"Supersizing self-supervision: Learning to grasp from 50k tries and 700 robot hours","author":"pinto","year":"2015","journal-title":"arXiv preprint arXiv 1509 06825"},{"key":"ref4","article-title":"Deep reinforcement learning for robotic manipulation","author":"gu","year":"2016","journal-title":"arXiv preprint arXiv 1610 00633"},{"key":"ref3","article-title":"Deep visual foresight for planning robot motion","author":"finn","year":"2016","journal-title":"arXiv preprint arXiv 1610 00696"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2016.7759657"},{"key":"ref5","article-title":"Deep residual learning for image recognition","author":"he","year":"2015","journal-title":"arXiv preprint arXiv 1512 03385"},{"key":"ref8","article-title":"In-hand robotic manipulation via deep reinforcement learning","volume":"9","author":"katyal","year":"2016","journal-title":"Proceedings of the Workshop on Deep Learning for Action and Interaction in Conjunction with Annual Conference on Neural Information Processing Systems Barcelona Spain"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.71"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-012-9306-z"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/BF01450852"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2004.1389727"},{"journal-title":"keras-rl","year":"2016","author":"plappert","key":"ref20"},{"key":"ref22","article-title":"Extending the openai gym for robotics: a toolkit for reinforcement learning using ros and gazebo","author":"zamora","year":"2016","journal-title":"arXiv preprint arXiv 1608 05742"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.sna.2011.02.038"},{"key":"ref23","article-title":"Towards vision-based deep reinforcement learning for robotic motion control","volume":"abs 1511 3791","author":"zhang","year":"2015","journal-title":"CoRR"}],"event":{"name":"2018 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2018,7,8]]},"location":"Rio de Janeiro","end":{"date-parts":[[2018,7,13]]}},"container-title":["2018 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8465565\/8488986\/08489273.pdf?arnumber=8489273","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,23]],"date-time":"2020-08-23T22:13:39Z","timestamp":1598220819000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8489273\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2018.8489273","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}