首页|New Findings Reported from Technical University Munich (TU Munich) Describe Advances in Robotics (Cut-paste Image Generation for Instance Segmentation for Robotic Picking of Industrial Parts)
New Findings Reported from Technical University Munich (TU Munich) Describe Advances in Robotics (Cut-paste Image Generation for Instance Segmentation for Robotic Picking of Industrial Parts)
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 DailyNews Daily News – Fresh data on Robotics are presented in a new report. According to news originatingfrom Garching, Germany, by NewsRx correspondents, research stated, “Vision-based robotic picking enablesautomation of commissioning and sortation of disordered parts. To locate parts for grasping, state-of-theartapproaches rely on convolutional neural networks for instance segmentation in 2D images.”
GarchingGermanyEuropeEmerging TechnologiesMachine LearningRoboticsRobotsTechnical University Munich (TU Munich)
NETL
NSTL
