Symbiotic human-robot collaborative assembly
By Lihui Wang, R. X. Gao, József Váncza, Jörg Krüger, Xiangyu Wang, Sotiris Makris, George Chryssolouris. CIRP annals, 2019
455 citations recorded by the source corpus.
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.
Subfields: Control and Systems Engineering, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/c121ec58dc7230dd60a3b96f8a025c71b7539327
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Citations in the corpus
- Artificial Intelligence in Advanced Manufacturing: Current Status and Future Outlook (2020, unknown): “HRC may be de fi ned [13] as “ a state in which a purposely designed robot system and an operator work on simultaneous tasks within a collaborative workspace, i.e., where the robot system and a human can perform tasks concurrently orevenjointly.”
- Human-Robot Collaboration in Manufacturing Applications: A Review (2019, background): “Other reviews, such as [8], identify similar trends, namely those of improved modeling and understanding, better task planning, and adaptive learning.”