Template-Based Category-Agnostic Instance Detection for Robotic Manipulation

An intelligent robotic system is one of the key pillars of a smart factory that requires flexibility to handle a variety of tasks. Perception is a key enabling technology for robots. Most existing object detection studies have mainly focused on category-specific objects and have achieved impressive...

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Veröffentlicht in:	IEEE robotics and automation letters 2022-10, Vol.7 (4), p.12451-12458
Hauptverfasser:	Hu, Zhongxu, Tan, Runjia, Zhou, Yanxin, Woon, Junyang, Lv, Chen
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer vision for automation deep learning for visual perception human detection and tracking Manipulators object detection Object recognition Pick and place tasks Proposals Robotics Robots segmentation and categorization Service robots Solid modeling Task analysis Three-dimensional displays
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