{"id":5,"date":"2014-11-28T09:18:48","date_gmt":"2014-11-28T01:18:48","guid":{"rendered":"http:\/\/www.yufangwen.cn\/?page_id=5"},"modified":"2025-12-26T08:45:54","modified_gmt":"2025-12-26T00:45:54","slug":"research","status":"publish","type":"page","link":"https:\/\/www.yufangwen.com\/?page_id=5","title":{"rendered":"Selected Projects"},"content":{"rendered":"<p><span style=\"color: #000000;\"><strong>NeuroPNT: Brain-inspired General Intelligent Positioning, Navigation, Timing System for Neurorobots<\/strong><\/span><\/p>\n<p>2020.12- 2030.12<a href=\"http:\/\/www.cognav.net\/\" target=\"_blank\" rel=\"noopener\"><br \/>\n<\/a><\/p>\n<p style=\"text-align: justify;\">The NeuroPNT Project aims to model the neural mechanisms in the brain underlying tasks like positioning, navigation, timing, spatial learning and memory to develop new brain-inspired general intelligent positioning, navigation, timing technologies for brain-inspired general intelligent robots.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1317\" src=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2023\/12\/BGINav_framework.png\" alt=\"\" width=\"3086\" height=\"1710\" srcset=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2023\/12\/BGINav_framework.png 3086w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2023\/12\/BGINav_framework-300x166.png 300w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2023\/12\/BGINav_framework-1024x567.png 1024w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2023\/12\/BGINav_framework-768x426.png 768w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2023\/12\/BGINav_framework-1536x851.png 1536w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2023\/12\/BGINav_framework-2048x1135.png 2048w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2023\/12\/BGINav_framework-150x83.png 150w\" sizes=\"(max-width: 3086px) 100vw, 3086px\" \/><\/p>\n<p>This project is partly funded by:<\/p>\n<p>National Natural Science Foundation of China. <strong>Brain Inspired 3D Navigation with Neuromorphic Computing Chips<\/strong>. 2023.01-2025.12.<\/p>\n<p>Natural Science Foundation of Jiangsu Province. <strong>Research on\u00a0 Brain-Inspired Navigation Theory and Method for Unmaned System in Complex Environments<\/strong>. 2024.10-2027.10<\/p>\n<p>Natural Science Foundation of Beijing. <strong>Research on High Realtime Brain-Inspired Localization for Unmaned System<\/strong>. 2026.01-2027.12<\/p>\n<p><strong>Participants<\/strong><strong>\uff1a<\/strong>Fangwen Yu (Leader),\u00a0 etc.<\/p>\n<p><span style=\"color: #000000;\"><strong>NeuroRobot: Brain-inspired General Intelligence Robot with Neuromorphic Intelligence<\/strong><\/span><\/p>\n<p>2025.1- 2035.12<a href=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2019\/07\/NeuroSLAMProjectHome2.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-878\" src=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2019\/07\/NeuroSLAMProjectHome2-1024x426.jpg\" alt=\"\" width=\"980\" height=\"408\" srcset=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2019\/07\/NeuroSLAMProjectHome2-1024x426.jpg 1024w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2019\/07\/NeuroSLAMProjectHome2-300x125.jpg 300w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2019\/07\/NeuroSLAMProjectHome2-768x319.jpg 768w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2019\/07\/NeuroSLAMProjectHome2-150x62.jpg 150w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2019\/07\/NeuroSLAMProjectHome2.jpg 1601w\" sizes=\"(max-width: 980px) 100vw, 980px\" \/><\/a><\/p>\n<p>The NeuroRobot Project aims to create brain-inspired general intelligent robots with neuromorphic intelligence. The project is investigating on neuromorphic robot research platform and exploring neuromorphic robot applications.<\/p>\n<p><strong>Participants<\/strong><strong>\uff1a<\/strong>Fangwen Yu (Leader), etc.<\/p>\n<p><span style=\"color: #000000;\"><strong>NeuroROS: Brain-inspired Robot Operating System<\/strong><\/span><\/p>\n<p>2025.1- 2035.12<a href=\"http:\/\/www.cognav.net\/\" target=\"_blank\" rel=\"noopener\"><br \/>\n<\/a><\/p>\n<p style=\"text-align: justify;\">The NeuroROS project aims to develop an open source brain-inspired robot operating system, NeuroROS, which integrates neuromorphic sensors, neuromorphic computing chips, neuromrophic memory chips, neuromorphic algorithms, neuromorphic communication, neuromorphic applications and neuromorphic tools for next generation brain-inspired intelligent robotics.<\/p>\n<p><strong>Participants<\/strong><strong>\uff1a<\/strong>Fangwen Yu (Leader), etc.<\/p>\n<p><span style=\"color: #000000;\"><strong>NeuroSLAM: Brain-inspired SLAM System for 3D Environments<\/strong><\/span><\/p>\n<p>2016.12- 2026.12<a href=\"http:\/\/www.cognav.net\/\" target=\"_blank\" rel=\"noopener\"><br \/>\n<\/a><\/p>\n<p style=\"text-align: center;\"><a href=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2019\/07\/NeuroSLAMProjectHome2.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-530 size-full alignnone\" src=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2017\/06\/CogNav-View-3.png\" alt=\"\" width=\"2399\" height=\"1218\" srcset=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2017\/06\/CogNav-View-3.png 2399w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2017\/06\/CogNav-View-3-300x152.png 300w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2017\/06\/CogNav-View-3-1024x520.png 1024w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2017\/06\/CogNav-View-3-150x76.png 150w\" sizes=\"(max-width: 2399px) 100vw, 2399px\" \/><br \/>\n<\/a><\/p>\n<p style=\"text-align: justify;\">The NeuroSLAM Project aims to model the neural mechanisms in the brain underlying tasks like 3D navigation and 3D spatial cognition to develop new neuromorphic 3D SLAM and navigation technologies for space, air, land, sea-based neuromorphic robots and vehicles.<\/p>\n<p>This project is partly funded by:<\/p>\n<p>China Postdoctoral Science Foundation. <strong>NeuroMap: Brain-Inspired Encoding and Memory of 3D Spatial Experience Map with Neuromorphic Chips<\/strong>. 2021.11-2023.07.<\/p>\n<p>National Natural Science Foundation of China. <strong>Brain Inspired 3D Navigation with Neuromorphic Computing Chips<\/strong>. 2023.01-2025.12.<\/p>\n<p style=\"text-align: justify;\">More info on\u00a0<a href=\"https:\/\/www.neuroslam.net\/\">www.NeuroSLAM.net<\/a><\/p>\n<p><strong>Participants<\/strong><strong>\uff1a<\/strong>Fangwen Yu (Leader), Prof. Michael Milford, Prof. Jianga Shang, etc.<\/p>\n<p><span style=\"color: #000000;\"><strong>WearNav: Wearable Indoor Cognitive Navigation System<\/strong><\/span><\/p>\n<p>2015-12-2017.12<\/p>\n<p><strong>\u00a0<a href=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/WearNav-Project.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"size-large wp-image-599 aligncenter\" src=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/WearNav-Project-1024x283.jpg\" alt=\"WearNav Project\" width=\"980\" height=\"271\" srcset=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/WearNav-Project-1024x283.jpg 1024w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/WearNav-Project-300x83.jpg 300w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/WearNav-Project-150x42.jpg 150w\" sizes=\"(max-width: 980px) 100vw, 980px\" \/><\/a><\/strong><\/p>\n<p style=\"text-align: justify;\">The project was supported by Fundamental Research Founds for National University of CUG (No. 1610491T08). It aims to build an indoor cognitive navigation system based on smart wearable devices, e.g. smart glass, smart watch. The WearNav system was developed based on an intelligent hybrid indoor positioning approach fusing Wi-Fi, BLE, PDR, Vision, spatial model-aided enhanced localization. In addition, a cognitive navigation model was developed which utilizes indoor semantic landmarks to improve the navigation performance and reduce user\u2019s cognitive load.<\/p>\n<p style=\"text-align: justify;\"><strong>Participants<\/strong>\uff1aFangwen Yu (Leader), Yifan Zhang, Zhiyong Zhou, Xinyi Tang, Wen Chen, Yongfeng Wu, Jianga Shang, etc.<\/p>\n<p><strong><span style=\"color: #000000;\">SeLoMo: Multi-Layered Indoor Semantic Location Model<\/span> <\/strong><\/p>\n<p><em>2013.01 \u2013 2016.12<\/em><\/p>\n<p style=\"text-align: center;\"><a href=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/SoLoMo-Project.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-601\" src=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/SoLoMo-Project-1024x400.jpg\" alt=\"SoLoMo Project\" width=\"980\" height=\"383\" srcset=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/SoLoMo-Project-1024x400.jpg 1024w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/SoLoMo-Project-300x117.jpg 300w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/SoLoMo-Project-150x59.jpg 150w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/SoLoMo-Project.jpg 2043w\" sizes=\"(max-width: 980px) 100vw, 980px\" \/><\/a><\/p>\n<p style=\"text-align: justify;\">The project was supported by the National Natural Science Foundation of China (No. 41271440). It aims to build a multi-layered indoor semantic location model to support enhanced indoor positioning and intelligent location-based services, like \u201cPosition queries, Nearest neighbour queries, Range queries, Navigation and Visualization\u201d for context-aware applications in ubiquitous computing environments especially indoor spaces. In particularly, the model can represent spatial features for indoor positioning, like floor map, sensory landmarks, spatial constraints, spatial topology, signal maps, etc., which can be used for enhanced spatial model-aided indoor positioning.<\/p>\n<p style=\"text-align: justify;\"><strong>Participants<\/strong>\uff1aJianga Shang, Fangwen Yu, Zhiyong Zhou, Xinyi Tang, Jinjin Yan, Xin Wang, Chao Wang, Jie Ma, etc.<\/p>\n<p><span style=\"color: #000000;\"><strong>SpaLoc: Spatial Model-aided Indoor Localization<\/strong><\/span><\/p>\n<p>2016.05 \u2013 2017.09<\/p>\n<p><a href=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/Spatial-Model-aided-Indoor-positioning.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-655\" src=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/Spatial-Model-aided-Indoor-positioning-1024x274.png\" alt=\"Spatial Model-aided Indoor positioning\" width=\"980\" height=\"262\" srcset=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/Spatial-Model-aided-Indoor-positioning-1024x274.png 1024w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/Spatial-Model-aided-Indoor-positioning-300x80.png 300w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/Spatial-Model-aided-Indoor-positioning-150x40.png 150w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/Spatial-Model-aided-Indoor-positioning.png 1430w\" sizes=\"(max-width: 980px) 100vw, 980px\" \/><\/a><\/p>\n<p><a href=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/SpaLoc-Project-2.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-604\" src=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/SpaLoc-Project-2-1024x292.jpg\" alt=\"SpaLoc Project 2\" width=\"980\" height=\"279\" srcset=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/SpaLoc-Project-2-1024x292.jpg 1024w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/SpaLoc-Project-2-300x86.jpg 300w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/SpaLoc-Project-2-150x43.jpg 150w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/SpaLoc-Project-2.jpg 2042w\" sizes=\"(max-width: 980px) 100vw, 980px\" \/><\/a><\/p>\n<p style=\"text-align: justify;\">The project was supported by National Key Research and Development Program of China (No. 2016YFB0502200). Challenge in indoor positioning is how to keep balance among low cost, high accuracy, and ubiquitous. It aims to utilized spatial information to improve indoor positioning accuracy and robust. The spatial information includes geometry, topological graph, grid model, sensory landmarks, signals characteristics map, etc., which can be used to constraint motion and improve positioning accuracy with low cost.<\/p>\n<p style=\"text-align: justify;\"><strong>Participants<\/strong>\uff1aJianga Shang, Wen Cheng, Yongfeng Wu, Pan Chen, Fangwen Yu, Xuke Hu, Ao Guo, Fuqiang Gu, etc.<\/p>\n<p><span style=\"color: #000000;\"><strong>UbiEyes: Universal Indoor Real-time Positioning System<\/strong><\/span><\/p>\n<p>2012.01 \u20132014.12<\/p>\n<p><a href=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/UbiEyes-Project.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-606\" src=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/UbiEyes-Project-1024x195.jpg\" alt=\"UbiEyes Project\" width=\"980\" height=\"187\" srcset=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/UbiEyes-Project-1024x195.jpg 1024w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/UbiEyes-Project-300x57.jpg 300w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/UbiEyes-Project-150x29.jpg 150w\" sizes=\"(max-width: 980px) 100vw, 980px\" \/><\/a><\/p>\n<p style=\"text-align: justify;\">The project was supported by Fundamental Research Founds for National University (No. CUGL090247). It aims to develop a universal indoor real-time positioning system. The UbiEyes system is an independent software platform used to build and support real-time positioning or location-aware applications written in Java. The system includes several core service components, such as Localization Engine (uLocEngine), LBS Server (uLBSServer), Context Data Engine (CDE) and Message-Oriented Middleware (MOM), as well as several application software like location monitoring software (uLocView), mobile Location-based application software (uLocMobile) and system management software (uManager). The system supports different localization technologies including Wi-Fi, BLE, PDR, nanoLOC, ZigBee, GPS, etc., and uses a variety of strategies to achieve enchanced positioning accuracy. It also combines the indoor semantic location model to provide basic indoor location-based services.<\/p>\n<p style=\"text-align: justify;\"><strong>Participants<\/strong>\uff1aJianga Shang, Fangwen Yu, Fuqiang Gu, Xuke Hu, Ao Guo, Bin Ge, etc.<\/p>\n<p><span style=\"color: #000000;\"><strong>iSoNe: Indoor Location-based Mobile Social Network System<\/strong><\/span><\/p>\n<p>2013.12-2015.11<\/p>\n<p><a href=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/ISoNe-Project-1.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-608\" src=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/ISoNe-Project-1-1024x390.jpg\" alt=\"ISoNe Project 1\" width=\"980\" height=\"373\" srcset=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/ISoNe-Project-1-1024x390.jpg 1024w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/ISoNe-Project-1-300x114.jpg 300w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/ISoNe-Project-1-150x57.jpg 150w\" sizes=\"(max-width: 980px) 100vw, 980px\" \/><\/a><\/p>\n<p><a href=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/iSoNe-Project-2.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-609\" src=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/iSoNe-Project-2-1024x336.jpg\" alt=\"iSoNe Project 2\" width=\"980\" height=\"322\" srcset=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/iSoNe-Project-2-1024x336.jpg 1024w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/iSoNe-Project-2-300x98.jpg 300w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/iSoNe-Project-2-150x49.jpg 150w\" sizes=\"(max-width: 980px) 100vw, 980px\" \/><\/a><\/p>\n<p><a href=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/iSoNe-Project-3.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-610\" src=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/iSoNe-Project-3-1024x174.jpg\" alt=\"iSoNe Project 3\" width=\"980\" height=\"167\" srcset=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/iSoNe-Project-3-1024x174.jpg 1024w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/iSoNe-Project-3-300x51.jpg 300w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/iSoNe-Project-3-150x26.jpg 150w\" sizes=\"(max-width: 980px) 100vw, 980px\" \/><\/a><\/p>\n<p style=\"text-align: justify;\">The project was supported by Fundamental Research Founds for National University (No. 1310491B07). It aims to build a mobile social network system based on indoor real-time positioning and location-based query technologies. The iSoNe system includes several core service components, such as Localization Engine (iLocEngine), LBS Server (iLBSServer), Chat Sever (iChatServer), Database and Message-Oriented Middleware (MOM), as well as mobile application software based on Andriod (iSoNe App). The system supports some core functions including peer-friend continuous navigation, nearby friend continuous query, fine-grained check-in, friend tracking, fine-grained geo-notification, etc. The system was tested in Optic Valley Mall, Yifu Museum of CUG, etc.<\/p>\n<p style=\"text-align: justify;\"><strong>Participants<\/strong>\uff1aZhiyong Zhou, Xuke Hu, Xinyi Tang, Rui Wang, Yang Zhou, Yue Zhuo, Fangwen Yu, Jianga Shang, etc.<\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\"><strong>SmartENav: Context Aware Smart Indoor Navigation System for Emergency<\/strong><\/span><\/p>\n<p style=\"text-align: justify;\">2011.12-2013.12<\/p>\n<p style=\"text-align: justify;\"><a href=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/SmartENavi-Project-1.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-611\" src=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/SmartENavi-Project-1-1024x198.jpg\" alt=\"SmartENavi Project 1\" width=\"980\" height=\"189\" srcset=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/SmartENavi-Project-1-1024x198.jpg 1024w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/SmartENavi-Project-1-300x58.jpg 300w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/SmartENavi-Project-1-150x29.jpg 150w\" sizes=\"(max-width: 980px) 100vw, 980px\" \/><\/a><\/p>\n<p style=\"text-align: justify;\"><a href=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/SmartENavi-Project-2.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-612\" src=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/SmartENavi-Project-2-1024x312.jpg\" alt=\"SmartENavi Project 2\" width=\"980\" height=\"299\" srcset=\"https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/SmartENavi-Project-2-1024x312.jpg 1024w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/SmartENavi-Project-2-300x91.jpg 300w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/SmartENavi-Project-2-150x46.jpg 150w, https:\/\/www.yufangwen.com\/wp-content\/uploads\/2014\/11\/SmartENavi-Project-2.jpg 1512w\" sizes=\"(max-width: 980px) 100vw, 980px\" \/><\/a><\/p>\n<p style=\"text-align: justify;\">The project was supported by Fundamental Research Founds for National University (No. 1310491B07). \u00a0It aims to build a smart indoor navigation system for emergency based on context-aware and real-time positioning. It support a hybrid indoor positioning fusing Wi-Fi, BLE, PDR based on smart phone. The core functions include emergency exit navigation, rescue attendant tracking, security monitor, etc. It was tested in the school hospital of CUG.<\/p>\n<p style=\"text-align: justify;\"><strong>Participants<\/strong>\uff1aFangwen Yu (Leader), Jinjin Yan, Zhiyong Zhou, Xiao Zhang, Xiaonan Wang, Xuke Hu, Donghe Kang, Yibo Ge, Jianga Shang etc.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>NeuroPNT: Brain-inspired General Intelligent Positioning, Navigation, Timing System for Neurorobots 2020.12- 2030.12 The NeuroPNT Project aims to model the neural mechanisms in the brain underlying tasks like positioning, navigation, timing, spatial learning and memory to develop new brain-inspired general intelligent positioning, navigation, timing technologies for brain-inspired general intelligent robots. This project is partly funded by:&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/www.yufangwen.com\/index.php?rest_route=\/wp\/v2\/pages\/5"}],"collection":[{"href":"https:\/\/www.yufangwen.com\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.yufangwen.com\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.yufangwen.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.yufangwen.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=5"}],"version-history":[{"count":111,"href":"https:\/\/www.yufangwen.com\/index.php?rest_route=\/wp\/v2\/pages\/5\/revisions"}],"predecessor-version":[{"id":1760,"href":"https:\/\/www.yufangwen.com\/index.php?rest_route=\/wp\/v2\/pages\/5\/revisions\/1760"}],"wp:attachment":[{"href":"https:\/\/www.yufangwen.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}