Creating Trustworthy Patrol Robot with an Ethical Design Approach

Abstract

Nowadays various countries are implementing robotics in their law-enforcing sectors. Robots are being used to control traffic, monitor civilians, and for crowd control. The robots are designed with the intention to replace the LEO (Law enforcing officers) and help to automate their tasks in different small scenarios where the LEO does not need to be physically present and maintain order in those situations while considering the safety of LEO and the general public both. However, most of the law-enforcing robots developed, requires a lot of investment and time for production which is not feasible for developing countries that are getting technologically advanced to mass produce. Furthermore, most of the design choices in those robots do not consider the risk of system failure, a problem caused by malfunctioning navigation, and interaction with the public for which most of the general public cannot trust such a system. In addition, the robots deployed especially in the law enforcement sector most of the time do not attribute to the ethical consideration. With all these considered, the paper will provide a design and implementation of a prototype patrolling robot based on the pre-test survey of the different stakeholders to maximize the trust in this type of robot. As for the relevant study in this area, most of them are theory based but the study in this paper will provide a practical implementation of the robot based on the given feedback and design considering the ethical risks and standards. Furthermore, the cost will be analyzed to make it feasible for developing countries to mass produce. The project will be built using an Arduino microcontroller, for criminal identification facial recognition will be used which will utilize machine learning algorithms.