The DOI matches its Crossref record; 180 of the 180 references it cites were found in a registry or an index.
Symbiotic human-robot collaborative assembly
Open accessAbstract
Abstract 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.
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Self-citationHuman–Robot Collaboration in Manufacturing Applications: A Review
Matheson, E., Minto, R., Zampieri, E. G. G., Faccio, M., & Rosati, G. (2019) · Robotics · doi:10.3390/robotics8040100 · Cited by 668
Artificial Intelligence in Advanced Manufacturing: Current Status and Future Outlook
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Self-citation
Metadata
- Authors
- Wang, L., Gao, R., Váncza, J., Krüger, J., Wang, X. V., Makris, S., & Chryssolouris, G.
- Venue
- CIRP Annals
- Publisher
- Elsevier BV
- Published
- 2019
- Volume
- 68
- Issue
- 2
- Pages
- 701-726
- ISSN
- 0007-8506 (ISSN-L)
- OpenAlex
- W2955808192
- Cited by
- 565
- References
- 180
- FWCI
- 33.44
- Type
- journal article
- Language
- en
- Open access
- green
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