摘要
由一名新闻记者兼机器人与机器学习每日新闻编辑-调查人员讨论机器人学的新发现。根据NewsRx记者对江苏的新闻报道，研究表明：“场景感知技术是指机器人识别人们所指的目标区域，从而为人机交互、语义导航等相关任务做出贡献。目前，单纯的基于语义特征的方法不足以充分描述室内场景。”导致每个类的混淆率和性能不一致。本研究的资助单位包括江苏省自然科学基金、国家自然科学基金(NSFC)、轻工业先进过程控制重点实验室基金。
Abstract
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.
NETL
NSTL