An Industrial Intelligent Autonomous Recycling System using a Deep Learning Approach

In this paper, an industrial intelligent autonomous recycling system is proposed for sorting recycling objects accord- ing to their own materials using deep learning. In order to adapt the system to be used in the real environment, movable robotic arm equipped with multifunctional grasping tool and mobile platform are integrated. The system structure is composed of four functionalities that are 1) object perception, 2) object clas- sification, 3) motion planning, and 4) navigation. To demonstrate the viability of the system, results for grasping, classification, and navigation are evaluated in the new industrial platform.

https://youtu.be/zsPIQ5PvDDI

Keywords

Deep Learning, Classification of materials, Autonomous recycling system, Manipulation, Navigation

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average