Cargando…
Towards a Safe Human–Robot Collaboration Using Information on Human Worker Activity
Most industrial workplaces involving robots and other apparatus operate behind the fences to remove defects, hazards, or casualties. Recent advancements in machine learning can enable robots to co-operate with human co-workers while retaining safety, flexibility, and robustness. This article focuses...
Autores principales: | Orsag, Luka, Stipancic, Tomislav, Koren, Leon |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920522/ https://www.ncbi.nlm.nih.gov/pubmed/36772323 http://dx.doi.org/10.3390/s23031283 |
Ejemplares similares
-
Development of Flexible Robot Skin for Safe and Natural Human–Robot Collaboration
por: Pang, Gaoyang, et al.
Publicado: (2018) -
HUMANISE: Human-Inspired Smart Management, towards a Healthy and Safe Industrial Collaborative Robotics
por: Lopez-de-Ipina, Karmele, et al.
Publicado: (2023) -
A Mixed-Perception Approach for Safe Human–Robot Collaboration in Industrial Automation
por: Mohammadi Amin, Fatemeh, et al.
Publicado: (2020) -
TeachBot: Towards teaching robotics fundamentals for human-robot collaboration at work
por: Selby, Nicholas Stearns, et al.
Publicado: (2021) -
Variable Admittance Control Based on Human–Robot Collaboration Observer Using Frequency Analysis for Sensitive and Safe Interaction
por: Kim, Hyomin, et al.
Publicado: (2021)