Safety in human-robot collaborative manufacturing environments: Metrics and control
By A. Zanchettin, N. Ceriani, P. Rocco, Hao Ding, Björn Matthias. IEEE Transactions on Automation Science and Engineering, 2016
366 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/073cd0f5538f7f48732c9f2139e03489f08bfbfa
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
In Control and Systems Engineering
- Julie Arnold Shah
- Przemyslaw A. Lasota
- Juan Pérez-Oria
- Carlos Torre-Ferrero
- Esther Gonzalez-Sarabia
- T. Fong
- Sandra Robla-Gómez
- Victor M. Becerra
Citations in the corpus
- Human-Robot Collaboration in Manufacturing Applications: A Review (2019, methodology): “[62] 2016 ABB FRIDA (YuMi) Vision Speed and separation monitoring Assembly Safety: Collision avoidance strategy: Decrease the speed of the cobot Speed reduction method based on minimum distance; distance threshold adaptable to the programmed speed; continuous speed scaling N/A”
- A Survey of Methods for Safe Human-Robot Interaction (2017, methodology): “To address this, Zanchettin et al. (2015) developed a velocity scaling approach that takes advantage of redundant degrees of freedom, 274 Safety Through Control with the goal of maintaining safety while retaining productivity.”
- Working Together: A Review on Safe Human-Robot Collaboration in Industrial Environments (2017, methodology): “Different robot’s behaviours in experimental set-up for multiple HRC using RGB-D devices, [105].”