首页|New Findings on Robotics and Automation Described by Investigators at Chinese Un iversity of Hong Kong (A Sim-to-real Instance Segmentation Framework for Densely Stacked Cartons)
New Findings on Robotics and Automation Described by Investigators at Chinese Un iversity of Hong Kong (A Sim-to-real Instance Segmentation Framework for Densely Stacked Cartons)
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 – A new study on Robotics - Robotics and Automation is now available. According to news reporting originating in Shenzhe n, People’s Republic of China, by NewsRx journalists, research stated, “Robotic picking systems in automated logistics require accurate segmentation and localiz ation of densely stacked cartons. However, the lack of comprehensive and diverse datasets for this task poses a significant challenge.” Financial support for this research came from Guangdong Basic and Applied Basic Research Foundation.
ShenzhenPeople's Republic of ChinaAs iaRobotics and AutomationRoboticsChinese University of Hong Kong
NETL
NSTL
