• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.12
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• pp.1596-1601
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• 2019

A smart robot game, which is one of the new type expanding the market through coding education classes recently, has a characteristic to manipulate digital games with a smart-phone while using a robot instead of existing games. Under the same rules, the virtual world's game is connected to real world's robot through a smart-phone, and the game is played while exchanging data. This study analyzes smart robot game by dividing them into media features, digital game features, and playful features. In addition, we developed the game based on the board game genre that has the general rules while using the derived development features. As a result, by presenting the case of development of smart robot board game, we would like to propose the points to be considered in the development of smart robot game.

• 전기의세계
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• v.32 no.4
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• pp.224-231
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• 1983

본 보고에서는 Mould-Manipulator의 생산 공정에의 적용과 성과, SCARA형 Robot의 적용을 위한 Diamond game, 교육용 Robot BABY-SMART의 작동원리 및 구성, 문제점과 향후계획을 기술하였다.

• International journal of advanced smart convergence
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• v.4 no.2
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• pp.154-162
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• 2015

This paper focuses on how cognitive and emotional structures affect humans during long-term interaction. We design an interaction with a turn-based game, the Chopstick Game, in which two agents play with numbers using their fingers. While a human and a robot agent alternate turn, the human user applies herself to play the game and to learn new winning skills from the robot agent. Conventional valence and arousal space is applied to design emotional interaction. For the robotic system, we implement finger gesture recognition and emotional behaviors that are designed for three-dimensional virtual robot. In the experimental tests, the properness of the proposed schemes is verified and the effect of the emotional interaction is discussed.

• Journal of Korea Game Society
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• v.18 no.4
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• pp.33-42
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• 2018

Virtual reality can user experience the virtual world of computer and stimulate user eyesight and emotions. HMD can acquire and stimulate user behavior and sensory information. In this paper, we propose a virtual reality game using robot control. Controlling the robots using various interfaces and synchronizing them with the virtual reality game. In this paper, we use OID mat for robot movement detection based optical code recognition and Kalman filter.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.9
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• pp.4193-4199
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• 2012

In this study, the intelligent robot equipped with an Android-based smartphone to enable the implementation of the performance of smartphone applications and robot platform has been designed and implemented. Smart phone that have touch screen, sound input/output, network and various sensor functions to robot platform that have simplicity function of power and motor etc. graft together and embodied so that can achieve function of remote control, home automation, game machine, R-running race etc. Phone used in the study of the Bluetooth communication sending and receiving data between the robot and from a remote computer over the Internet via WI-FI is designed to perform communication.

• Journal of Korea Game Society
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• v.12 no.1
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• pp.123-132
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• 2012

There are many of games using smart devices. Voice recognition is can be useful way for input. In the game, voice have to be quickly recognized, at the same time it have to be manipulated promptly as well. In this study, we developed the optimized real-time phoneme recognition using max flow matching that it can be efficiently used in the game field. Firstly, voice wavelength is transformed to FFT, secondly, transformed value is made by a graph in Z plane, thirdly, data is extracted in specific area, and then data is saved in database. After all the value is recognized using weighted bipartite max flow matching. This way would be useful method in game or robot field when researchers hope to recognize the fast voice recognition.

• Journal of Korea Game Society
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• v.20 no.3
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• pp.85-94
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• 2020

AI-based smart factory technologies are only increase short-term productivity. To solve this problem, collaborative intelligence combines human teamwork, creativity, AI speed, and accuracy to actively compensate for each other's shortcomings. However, current automation equipmens require high safety measures due to the high disaster intensity in the event of an accident. In this paper, we design and implement a factory safety control system that uses a depth camera to implement workers and facilities in the virtual world and to determine the safety of workers through simulation.

• Journal of IKEEE
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• v.25 no.4
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• pp.644-649
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• 2021

Self-Imitation Learning is a simple off-policy actor-critic algorithm that makes an agent find an optimal policy by using past good experiences. In case that Self-Imitation Learning is combined with reinforcement learning algorithms that have actor-critic architecture, it shows performance improvement in various game environments. However, its applications are limited to reinforcement learning algorithms that have actor-critic architecture. In this paper, we propose a method of applying Self-Imitation Learning to Deep Q-Network which is a value-based deep reinforcement learning algorithm and train it in various game environments. We also show that Self-Imitation Learning can be applied to Deep Q-Network to improve the performance of Deep Q-Network by comparing the proposed algorithm and ordinary Deep Q-Network training results.