Journal
ELECTRONICS
Volume 10, Issue 2, Pages -Publisher
MDPI
DOI: 10.3390/electronics10020124
Keywords
assistive robot; cloud-brained robot; human-robot interaction; indoor-navigation; rescuer robot
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In the face of a newly discovered global pandemic disease causing severe lung problems, research into using robotics to autonomously detect survivors and reduce human exposure to the disease becomes crucial. These robots, powered by cloud computing, are evaluated through experiments in simulated hazardous environments.
On 31 January 2020, the World Health Organization (WHO) declared a global emergency after the discovery of a new pandemic disease that caused severe lung problems. The spread of the disease at an international level drew the attention of many researchers who attempted to find solutions to ameliorate the problem. The implementation of robotics has been one of the proposed solutions, as automated humanoid robots can be used in many situations and limit the exposure of humans to the disease. Many humanoid robot implementations are found in the literature; however, most of them have some distinct drawbacks, such as a high cost and complexity. Our research proposes a novel, secure and efficient programmable system using a humanoid robot that is able to autonomously move and detect survivors in emergency scenarios, with the potential to communicate verbally with victims. The proposed humanoid robot is powered by the cloud and benefits from the powerful storage, computation, and communication resources of a typical modern data center. In order to evaluate the proposed system, we conducted multiple experiments in synthetic hazardous environments.
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