Methodology for Design of Hydrogen Robot for Medical Needs

The paper examines the concept of creating a Collaborative Service Robot powered by a Hydrogen Fuel Cell designed to assist in medical facilities. The characteristics of this robot are analyzed and its advantages are highlighted, from the point of view of ecological operation and long life during the patient service activities in a hospital facility. Some key features and benefits of Hydrogen Fuel Cell-powered robots are compared to battery-powered robots and the positives in this comparison are shown. The advantages of modern Collaborative Robots used as Service Robots in inpatient service processes in a hospital are presented. It shows the possibility, based on the competence and expertise of the authors in the field of Service Mobile Collaborative Robots, to create and implement one for the needs of human service in medical facilities, which will be powered by a hydrogen fuel cell. The main characteristics of the created mobile collaborative service robots of the ``AnRI'' series (Anthropomorphic Robot with Intelligence) are briefly indicated, where ``AnRI-1'' is equipped with a manipulator with a three-finger gripper, and ``AnRI-2'' is an information robot equipped with a large screen on top. The article analyzes the process of creating these collaborative robots, realizing several important elements of the control system, such as its development with elements of Artificial Intelligence. The advantages of hydrogen power and increased reliability of the general complex of systems in these Collaborative Mobile Robots and their possibility to be used effectively in the realization of medical care are emphasized.

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Publication Details

Journal
Proceedings of the Bulgarian Academy of Sciences
Published
2024-08-29
DOI
https://doi.org/10.7546/crabs.2024.08.08
Citations
1
Primary Topic
Engineering Education and Technology
Type
article
Field-Weighted Citation Impact
0.78

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article

Methodology for Design of Hydrogen Robot for Medical Needs

Yasen Paunski, Roman Zahariev, G. Angelov, Nina Valchkova
1 citations
Proceedings of the Bulgarian Academy of Sciences
Engineering Education and Technology
0.78
article

Methodology for Design of Hydrogen Robot for Medical Needs

Yasen Paunski, Roman Zahariev, G. Angelov, Nina Valchkova
article en
1 citations

Abstract

The paper examines the concept of creating a Collaborative Service Robot powered by a Hydrogen Fuel Cell designed to assist in medical facilities. The characteristics of this robot are analyzed and its advantages are highlighted, from the point of view of ecological operation and long life during the patient service activities in a hospital facility. Some key features and benefits of Hydrogen Fuel Cell-powered robots are compared to battery-powered robots and the positives in this comparison are shown. The advantages of modern Collaborative Robots used as Service Robots in inpatient service processes in a hospital are presented. It shows the possibility, based on the competence and expertise of the authors in the field of Service Mobile Collaborative Robots, to create and implement one for the needs of human service in medical facilities, which will be powered by a hydrogen fuel cell. The main characteristics of the created mobile collaborative service robots of the ``AnRI'' series (Anthropomorphic Robot with Intelligence) are briefly indicated, where ``AnRI-1'' is equipped with a manipulator with a three-finger gripper, and ``AnRI-2'' is an information robot equipped with a large screen on top. The article analyzes the process of creating these collaborative robots, realizing several important elements of the control system, such as its development with elements of Artificial Intelligence. The advantages of hydrogen power and increased reliability of the general complex of systems in these Collaborative Mobile Robots and their possibility to be used effectively in the realization of medical care are emphasized.

Proceedings of the Bulgarian Academy of SciencesVol. 77(8)
Bulgarian Academy of Sciences (BG)
Bulgarian National Science Fund
Openalex Percentile: Top 22%
Engineering Education and Technology
0.78
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