.png){kind=icon}
.png){kind=icon}
Return
Symbiotic human-robot collaborative assembly
.png){kind=icon}
OA
AI
DOI：10.1016/j.cirp.2019.05.002.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
In human-robot collaborative assembly, robots are often required to dynamically change their pre-planned tasks to collaborate with human operators in a shared workspace. However, the robots used today are controlled by pre-generated rigid codes that cannot support effective human-robot collaboration. In response to this need, multi-modal yet symbiotic communication and control methods have been a focus in recent years. These methods include voice processing, gesture recognition, haptic interaction, and brainwave perception. Deep learning is used for classification, recognition and context awareness identification. Within this context, this keynote provides an overview of symbiotic human-robot collaborative assembly and highlights future research directions. (C) 2019 Published by Elsevier Ltd on behalf of CIRP.
Keywords:
Assembly
Robot
Human-robot collaboration
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
C
IF:
3.6
Papers:
3.4K
Citations:
1.3W
View more organizations