首页|Findings on Robotics Discussed by Investigators at Nanjing University of Posts a nd Telecommunications (A Fusiform Network of Indoor Scene Classification With th e Stylized Semantic Description for Service-robot Applications)
Findings on Robotics Discussed by Investigators at Nanjing University of Posts a nd Telecommunications (A Fusiform Network of Indoor Scene Classification With th e Stylized Semantic Description for Service-robot Applications)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Robotics. According to news reporting originating in Jiangsu, People’s Republic of China, by NewsRx journalists, research stated, “Scene perception technology h elps robots identify the target areas that people refer to so that it contribute s to human-robot interaction, semantic navigation and other related tasks. Curre ntly, pure semantic -featurebased methods are insufficient to fully describe div erse indoor scenes, resulting in a high confusion rate and performance inconsist ency on each class.” Funders for this research include Natural Science Foundation of Jiangsu Province , National Natural Science Foundation of China (NSFC), Foundation of Key Laborat ory of Advanced Process Control for Light Industry, China.
JiangsuPeople's Republic of ChinaAsi aEmerging TechnologiesMachine LearningRobotRoboticsNanjing University of Posts and Telecommunications
NETL
NSTL
