• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.294-302
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• 2022

The article explores the prospects and trends for the transformation of some basic concepts of law associated with the development of artificial intelligence systems and the problems of liability for harm caused by a robot. The prospects, conditions and consequences of vesting robots with partial (quasi) or full legal personality are explored. This process should lead to a revision of the concepts of will, subjective side and legal responsibility in the direction of their greater universalization. The legally significant signs of will, legal personality, legal liability in relation to robots, artificial intelligence systems and other complex automated information systems are clarified. The author identifies the following essential factors of legal qualification of an act committed by a robot: goals, reasons for setting goals, connections between the planned result and the action taken, the actual result, the reasons for the difference between the actual result and the planned one. The article pays special attention to the preventive function of legal liability, which, when applied to robot subjects, can be expressed in the following basic procedures. 1. Accounting for legal requirements in the behavior of the robot. 2. Timely adaptation of the robot to changes in legislation and other regulatory legal acts that affect its behavior. 3. Accounting for incidents. 4. Destruction of a series of robots whose actions lead to unacceptable consequences.

• Journal of Institute of Control, Robotics and Systems
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• v.15 no.5
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• pp.505-510
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• 2009

In recent years the space where a robot works has been expanding to the human space unlike traditional industrial robots that work only at fixed positions apart from humans. A human in the recent situation may be the owner of a robot or the target in a robotic application. This paper deals with the latter case; when a robot vision system is employed to monitor humans for a surveillance application, each person in a scene needs to be identified. Humans, however, often move together, and occlusions between them occur frequently. Although this problem has not been seriously tackled in relevant literature, it brings difficulty into later image analysis steps such as tracking and scene understanding. In this paper, a probabilistic neural network is employed to learn the patterns of the best dividing position along the top pixels of an image region of partly occlude people. As this method uses only shape information from an image, it is simple and can be implemented in real time.

• Journal of Construction Engineering and Project Management
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• v.6 no.2
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• pp.30-39
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• 2016

This research presents the development of a self-governing mobile robot navigation system for indoor construction applications. This self-governing robot navigation system integrated robot control units, various positioning techniques including a dead-reckoning system, a UWB platform and motion sensors, with a BIM path planner solution. Various algorithms and error correction methods have been tested for all the employed sensors and other components to improve the positioning and navigation capability of the system. The research demonstrated that the path planner utilizing a BIM model as a navigation site map could effectively extract an efficient path for the robot, and could be executed in a real-time application for construction environments. Several navigation strategies with a mobile robot were tested with various combinations of localization sensors including wheel encoders, sonar/infrared/thermal proximity sensors, motion sensors, a digital compass, and UWB. The system successfully demonstrated the ability to plan an efficient path for robot's movement and properly navigate through the planned path to reach the specified destination in a complex indoor construction site. The findings can be adopted to several potential construction or manufacturing applications such as robotic material delivery, inspection, and onsite security.

• Journal of Institute of Control, Robotics and Systems
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• v.11 no.4
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• pp.314-321
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• 2005

In this paper an intelligence embedding quadruped pet robot is described. It has 15 degrees of freedom and consists of various sensors such as CMOS image, voice recognition and sound localization, inclinometer, thermistor, real-time clock, tactile touch, PIR and IR to allows owners to interact with pet robot according to human's intention as well as the original features of pet animals. The architecture is flexible and adopts various embedded processors for handling sensors to provide modular structure. The pet robot is also used for additional purpose such like security, gaming visual tracking, and research platform. It is possible to generate various actions and behaviors and to download voice or music files to maintain a close relation of users. With cost-effective sensor, the pet robot is able to find its recharge station and recharge itself when its battery runs low. To facilitate programming of the robot, we support several development environments. Therefore, the developed system is a low-cost programmable entertainment robot platform.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.54 no.5
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• pp.300-306
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• 2005

In this paper we present a guideline to evaluate how easy the use of personal robots is and how good their learning abilities are, based on the analysis of their built-in commands, user interfaces, and intelligences. Recently, we are living with robots that can be able to do lots of roles; cleaning, security, pets and education in real life. They can be classified as home robots, guide robots, service robots, robot pets, and so on. There we, however, no standards to evaluate their abilities, so it is not easy to select an appropriate robot when a user wants to buy it. Thus, we present, as a guideline that can be a standard for the evaluation of the personal robots, the standards by means of analyzing existing personal robots and results of the recent research works. We will, also, demonstrate how to apply the evaluation method to the cleaning robot as an example.

• Convergence Security Journal
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• v.17 no.2
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• pp.153-158
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• 2017

The robot imitates humans and recognizes the external environment and judges the situation. The robot is a machine that operates autonomously. Robots are divided into manufacturing robots and service robots. Service robots are classified as professional service robots and personal service robots. Because of the intensified competition of productivity in manufacturing industries, rising safety issues, low birth rate and aging, the robots industry is emerging. Recently, the robot industry is a complex of advanced technology fields, and it is attracting attention as a new industry where innovation potential and growth potential are promising. IT, BT, and NT related elements are fused and implemented, and the ripple effect is very large. Due to changes in social structure and life patterns, social interest in life extension and health is increasing. There is much interest in the medical field. Now the artificial intelligence (AI) industry is growing rapidly. It is necessary to secure global competitiveness through strengthening cooperation between large and small companies. We must combine R&D investment capability and marketing capability, which are advantages of large corporations, and robotic technology. We need to establish a cooperative model and secure global competitiveness through M&A.

• Proceedings of the KIEE Conference
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• 2005.10b
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• pp.421-423
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• 2005

Power transmission lines have been playing a key role as the mainstay of national industry. When a power failure occurs, it can have severe effects on national security as well as national industry and economy. In this paper, we consider an insulator failure, which is one of the main causes of such a power failure. In spite of its importance, however, a shortage of manpower in the insulator maintenance field is getting more serious due to working environments with a high voltage and a high place. For this reason, a new active maintenance technique using a robot system is required to prevent such an insulator failure. In this paper, a new robot mechanism for insulator cleaning and inspection was developed. We confirmed its effectiveness through experiments.

• Proceedings of the KIEE Conference
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• 2004.07d
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• pp.2465-2467
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• 2004

In this paper we present the guideline to evaluate the easiness of using personal robots and their learning abilities based on the analysis of their built-in commands, user interfaces, and intelligences. Recently, we are breathing with robots that can be able to do lots of roles. cleaning, security, pets and education in real life. They can be classified as home robots, guide robots, service robots, robot pets, and so on. There are, however, no standards to evaluate their ability, so it is not easy to select an appropriate robot when a user wants to buy it. Thus, we present, as a guideline that can be a standard for the evaluation of the personal robots, the standards by means of analyzing existing personal robots and results of the recent research works. We will, also, describe how to apply the evaluation method th the personal robot.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.10a
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• pp.712-715
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• 2008

RUPI-based robot service provides a variety of robot services guaranteeing extensibility and flexibility by communications between heterogeneous robots and servers. While providing robotic services, the guarantee of safety is essential. However, as to support a variety of capability of each node deployed in robotic services, security mechanisms that are suitable for each service must be applied. Also, efficient key management structure must be preceded. Therefore, in this paper, we propose a key management structure suitable for RUPI-based robot environment.

• The Journal of Korea Robotics Society
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• v.1 no.2
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• pp.117-124
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• 2006

In this paper, we develope the navigation system for patrol robots in indoor environment. The proposed system consists of PDA map modelling, a localization algorithm based on a global position sensor and an automatic charging station. For the practical use in security system, the PDA is used to build object map on the given indoor map. And the builded map is downloaded to the mobile robot and used in path planning. The global path planning is performed with a localization sensor and the downloaded map. As a main controller, we use PXA270 based hardware platform in which embedded linux 2.6 is developed. Data handling for various sensors and the localization algorithm are performed in the linux platform. Also, we implemented a local path planning algorithm for object avoidance with ultra sonar sensors. Finally, for the automatic charging, we use an infrared ray system and develop a docking algorithm. The navigation system is experimented with the two-wheeled mobile robot using North-Star localization system.