CM-UNet: ConvMixer UNet for Segmentation of Unknown Objects in Cluttered Scenes
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3224588
Abstract: Object segmentation in cluttered environments is a fundamental pre-processing step for many perception-related tasks such as vision-based robotic grasping. Most of the existing object segmentation methods are incapable of precisely segmenting unknown objects, particularly in… read more here.
Keywords: cluttered scenes; unet convmixer; segmentation; segmentation unknown ... See more keywords
DDGC: Generative Deep Dexterous Grasping in Clutter
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3096239
Abstract: Recent advances in multi-fingered robotic grasping have enabled fast 6-Degrees-of-Freedom (DOF) single object grasping. Multi-finger grasping in cluttered scenes, on the other hand, remains mostly unexplored due to the added difficulty of reasoning over obstacles… read more here.
Keywords: clutter; clutter ddgc; high quality; multi finger ... See more keywords