Evaluation and selection of a collaborative robot for a tuberculosis sample collection isolated booth
| Autor: | Andrei Caprariu, Bogdan Gherman, Adrian Pisla, Doina Pisla, Ferenc Puskas, Tiberiu Alexandru Antal |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Tuberculosis
Isolation (health care) Computer science business.industry Machine learning computer.software_genre medicine.disease Task (project management) Set (abstract data type) Tuberculosis diagnosis medicine Robot Sample collection Artificial intelligence business computer Selection (genetic algorithm) |
| Zdroj: | ICSTCC |
| DOI: | 10.1109/icstcc52150.2021.9607252 |
| Popis: | Tuberculosis is considered one of the most lethal infectious diseases. One of the common tuberculosis diagnosis methods is sputum testing. The sputum collection process represents a risk for the medical personnel who can get infected during the procedure, which is why an automated solution within an isolation booth is preferred. The paper’s goal is to present a methodology for selecting a suitable collaborative robot to be integrated into the isolation booth, based on a set of predetermined requirements. The obstacle collision forces of the selected robot are measured to assess its suitability for the required task. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|