Humanoid Robot for Disaster Detection using Machine Learning

Abstract

The most recent advancements in science and technology have led to the creation and deployment of robots in a variety of applications encompassing all areas of human existence. This has been made possible as a result of recent scientific and technological advances. Because of this, it will be necessary for people and robots to collaborate on a wider scale. Evidence from the past reveals that robots are more often seen as friends rather than machines or tools. Nevertheless, Human-Robot Interaction (HRI) is not the same as the previously established Human-Computer-Interaction (HCI), which offers insights into better comprehending and enhancing interactions with computer-based technology. The Human–Robot Interaction (HRI) study field is unique from the Human– Computer Interaction (HCI) research field because HRI introduces autonomy, physical closeness, and the capacity to make choices for a robotic system. When taking into account the vast number of interactions that take place between humans and robots, there is an urgent need to standardise standards in order to guarantee that robotic technology is used in a responsible and principled manner. The work presented here exhibits an HRI framework and metric taxonomy for the robot design that are appropriate for a variety of applications. These were generated after an in-depth analysis of the relevant literature. For hobbyists, developers, and academics interested in constructing completely autonomous, consumer-focused social robots with perception and reasoning skills, the framework provides an end-to-end product design overview that may further be employed to reach technological readiness for an end-product. newline As a result of investments made in the field of robotics, a wider variety of robots are becoming available on the consumer market, which will lead to an exponential rise in the number of contacts between people and robots.