{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T22:36:22Z","timestamp":1757543782146,"version":"3.28.0"},"reference-count":22,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,5]]},"DOI":"10.1109\/icra.2018.8460798","type":"proceedings-article","created":{"date-parts":[[2018,9,21]],"date-time":"2018-09-21T22:28:03Z","timestamp":1537568883000},"page":"6268-6275","source":"Crossref","is-referenced-by-count":5,"title":["Applying Asynchronous Deep Classification Networks and Gaming Reinforcement Learning-Based Motion Planners to Mobile Robots"],"prefix":"10.1109","author":[{"given":"Gilhyun","family":"Ryou","sequence":"first","affiliation":[]},{"given":"Youngwoo","family":"Sim","sequence":"additional","affiliation":[]},{"given":"Seong Ho","family":"Yeon","sequence":"additional","affiliation":[]},{"given":"Sangok","family":"Seok","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","article-title":"Rich feature hierarchies for accurate object detection and semantic segmentation","author":"girshick","year":"2014","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"journal-title":"Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning","year":"2016","author":"yang","key":"ref11"},{"journal-title":"Mobilenets Efficient convolutional neural networks for mobile vision applications","year":"2017","author":"howard","key":"ref12"},{"journal-title":"Playing atari with deep reinforcement learning","year":"2013","author":"mnih","key":"ref13"},{"key":"ref14","article-title":"Reinforcement learning for a vision based mobile robot","author":"gaskett","year":"2000","journal-title":"IEEE International Conference on Intelligent Robots and Systems (IROS)"},{"key":"ref15","article-title":"Fast reinforcement learning for vision-guided mobile robots","author":"martnez-marn","year":"2005","journal-title":"IEEE International Conference on Robotics and Automation (ICRA)"},{"key":"ref16","article-title":"Effective reinforcement learning for mobile robots","author":"smart","year":"2002","journal-title":"IEEE International Conference on Robotics and Automation (ICRA)"},{"journal-title":"Sim-to-real robot learning from pixels with progressive nets","year":"2016","author":"rusu","key":"ref17"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1038\/nature14236","article-title":"Human-level control through deep reinforcement learning","volume":"518","author":"mnih","year":"2015","journal-title":"Nature"},{"journal-title":"Dueling network architectures for deep reinforcement learning","year":"2015","author":"wang","key":"ref19"},{"key":"ref4","article-title":"Deep residual learning for image recognition","author":"he","year":"2016","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref3","doi-asserted-by":"crossref","DOI":"10.1109\/ICRA.2017.7989381","article-title":"Target-driven visual navigation in indoor scenes using deep reinforcement learning","author":"zhu","year":"2017","journal-title":"IEEE International Conference on Robotics and Automation (ICRA)"},{"key":"ref6","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in Neural Information Processing Systems (NIPS)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MRA.2006.1598056"},{"journal-title":"Very Deep Convolutional Networks for Large-scale Image Recognition","year":"2014","author":"simonyan","key":"ref8"},{"key":"ref7","article-title":"Faster R-CNN: Towards realtime object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Advances in Neural Information Processing Systems (NIPS)"},{"key":"ref2","doi-asserted-by":"crossref","DOI":"10.1109\/ICRA.2017.7989182","article-title":"From perception to decision: A data-driven approach to end-to-end motion planning for autonomous ground robots","author":"pfeiffer","year":"2017","journal-title":"IEEE International Conference on Robotics and Automation (ICRA)"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JRA.1986.1087032"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.2174\/1573399812666160613113556"},{"key":"ref20","article-title":"Asynchronous methods for deep reinforcement learning","author":"mnih","year":"2016","journal-title":"International Conference on Machine Learning (ICML)"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.534"},{"key":"ref21","article-title":"System Design for Autonomous Table Tennis Ball Collecting Robot","author":"yeon","year":"2017","journal-title":"IEEE International Conference on Control Automation and System (ICCAS)"}],"event":{"name":"2018 IEEE International Conference on Robotics and Automation (ICRA)","start":{"date-parts":[[2018,5,21]]},"location":"Brisbane, QLD","end":{"date-parts":[[2018,5,25]]}},"container-title":["2018 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8449910\/8460178\/08460798.pdf?arnumber=8460798","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,24]],"date-time":"2020-08-24T01:40:28Z","timestamp":1598233228000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8460798\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,5]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/icra.2018.8460798","relation":{},"subject":[],"published":{"date-parts":[[2018,5]]}}}