• Title/Summary/Keyword: embedded robot

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An On-The-Fly Testing Technique of Embedded Software using Aspect Components (Aspect 컴포넌트를 이용한 임베디드 소프트웨어의 모듈 단위 On-The-Fly 테스팅)

  • Kim, Jong-Phil;Hong, Jang-Eui
    • The KIPS Transactions:PartD
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    • v.15D no.6
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    • pp.785-792
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    • 2008
  • In spite of the various techniques on the testing of embedded software, operation failures of embedded systems such as robot or satellite applications, are occurred frequently. The critical reason of these failures is due to the fact that software is embedded into a target system with inherent faults. Therefore, in order to prevent the failure owing to such faults, it needs a technique to test the embedded software which operates in real environment. In this paper, we propose a testing technique, aspect-based On-the-Fly testing that is to test the functionality and performance at real operation time. Our proposed technique gives some benefits of real test of unexpected input conditions, prevention of software malfunction, and reusability of aspect components for the testing.

Development of Sensor and Block expandable Teaching-Aids-robot (센서 및 블록 확장 가능한 교구용 보조 로봇 개발)

  • Sim, Hyun;Lee, Hyeong-Ok
    • The Journal of the Korea institute of electronic communication sciences
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    • v.12 no.2
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    • pp.345-352
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    • 2017
  • In this paper, we design and implement an educational robot system that can use scratch education with the function of user demanding to perform robot education in actual school site in an embedded environment. It is developed to enable physical education for sensing information processing, software design and programming practice training that is the basis of robotic system. The development environment of the system is Arduino Uno based product using Atmega 328 core, debugging environment based on Arduino Sketch, firmware development language using C language, OS using Windows, Linux, Mac OS X. The system operation process receives the control command of the server using the Bluetooth communication, and drives various sensors of the educational robot. The curriculum includes Scratch program and Bluetooth communication, which enables real-time scratch training. It also provides smartphone apps and is designed to enable education like C and Python through expansion. Teachers at the school site used the developed products and presented performance processing results satisfying the missionary needs of the missionaries.

Multi-legged robot system enabled to decide route and recognize obstacle based on hand posture recognition (손모양 인식기반의 경로교사와 장애물 인식이 가능한 자율보행 다족로봇 시스템)

  • Kim, Min-Sung;Jeong, Woo-Won;Kwan, Bae-Guen;Kang, Dong-Joong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.8
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    • pp.1925-1936
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    • 2010
  • In this paper, multi-legged robot was designed and produced using stable walking pattern algorithm. The robot had embedded camera and wireless communication function and it is possible to recognize both hand posture and obstacles. The algorithm decided moving paths, and recognized and avoided obstacles through Hough Transform using Edge Detection of inputed image from image sensor. The robot can be controlled by hand posture using Mahalanobis Distance and average value of skin's color pixel, which is previously learned in order to decide the destination. The developed system has shown obstacle detection rate of 96% and hand posture recognition rate of 94%.

Quadruped Robot for Walking on the Uneven Terrain and Object Detection using Deep Learning (딥러닝을 이용한 객체검출과 비평탄 지형 보행을 위한 4족 로봇)

  • Myeong Suk Pak;Seong Min Ha;Sang Hoon Kim
    • KIPS Transactions on Software and Data Engineering
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    • v.12 no.5
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    • pp.237-242
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    • 2023
  • Research on high-performance walking robots is being actively conducted, and quadruped walking robots are receiving a lot of attention due to their excellent mobility and adaptability on uneven terrain, but they are difficult to introduce and utilize due to high cost. In this paper, to increase utilization by applying intelligent functions to a low-cost quadruped robot, we present a method of improving uneven terrain overcoming ability by mounting IMU and reinforcement learning on embedded board and automatically detecting objects using camera and deep learning. The robot consists of the legs of a quadruped mammal, and each leg has three degrees of freedom. We train complex terrain in simulation environments with designed 3D model and apply it to real robot. Through the application of this research method, it was confirmed that there was no significant difference in walking ability between flat and non-flat terrain, and the behavior of performing person detection in real time under limited experimental conditions was confirmed.

A Research on Designing an Autonomic Control System Towards High-Reliable Cyber-Physical Systems (고신뢰 CPS를 위한 자율제어 시스템에 관한 연구)

  • Park, Jeongmin;Kang, Sungjoo;Chun, Ingeol;Kim, Wontae
    • IEMEK Journal of Embedded Systems and Applications
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    • v.8 no.6
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    • pp.347-357
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    • 2013
  • Cyber-Physical system(CPS) is characterized by collaborating computational elements controlling physical entities. In CPS, human desire to acquire useful information and control devices anytime and anywhere automatically has increased the necessity of a high reliable system. However, the physical world where CPS is deployed has management complexity and maintenance cost of 'CPS', so that it is impossible to make reliable systems. Thus, this paper presents an 'Autonomic Control System towards High-reliable Cyber-Physical Systems' that comprise 8-steps including 'fault analysis', 'fault event analysis', 'fault modeling', 'fault state interpretation', 'fault strategy decision', 'fault detection', 'diagnosis&reasoning' and 'maneuver execution'. Through these activities, we fascinate to design and implement 'Autonomic control system' than before. As a proof of the approach, we used a ISR(Intelligent Service Robot) for case study. The experimental results show that it achieves to detect a fault event for autonomic control of 'CPS'.

Object Tracking Algorithm of Swarm Robot System for using Polygon Based Q-Learning and Cascade SVM (다각형 기반의 Q-Learning과 Cascade SVM을 이용한 군집로봇의 목표물 추적 알고리즘)

  • Seo, Sang-Wook;Yang, Hyung-Chang;Sim, Kwee-Bo
    • IEMEK Journal of Embedded Systems and Applications
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    • v.3 no.2
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    • pp.119-125
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    • 2008
  • This paper presents the polygon-based Q-leaning and Cascade Support Vector Machine algorithm for object search with multiple robots. We organized an experimental environment with ten mobile robots, twenty five obstacles, and an object, and then we sent the robots to a hallway, where some obstacles were lying about, to search for a hidden object. In experiment, we used four different control methods: a random search, a fusion model with Distance-based action making (DBAM) and Area-based action making (ABAM) process to determine the next action of the robots, and hexagon-based Q-learning and dodecagon-based Q-learning and Cascade SVM to enhance the fusion model with DBAM and ABAM process.

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Depth Control of Underwater Glider Using Reduced Order Observer (축소 차원 관측기를 사용한 수중 글라이더의 깊이 제어)

  • Joo, Moon-Gab;Woo, Him-Chan;Son, Hyeong-Gon
    • IEMEK Journal of Embedded Systems and Applications
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    • v.12 no.5
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    • pp.311-318
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    • 2017
  • A reduced order observer is developed for depth control of a hybrid underwater glider which combines the good aspects of a conventional autonomous underwater vehicle and a underwater glider. State variables include the center of gravity of the robot and the weight of the buoyancy bag, which can not be directly measured. By using the mathematical model and available information such as directional velocities, accelerations, and attitudes, we developed a Luenberger's reduced order observer to estimate the center of gravity and the buoyancy weight. By simulations using Matlab/Simulink, the efficiency of the proposed observer is shown, where a LQR controller using full state variables is adopted as a depth controller.

Hardware Implementation for Real-Time Speech Processing with Multiple Microphones

  • Seok, Cheong-Gyu;Choi, Jong-Suk;Kim, Mun-Sang;Park, Gwi-Tea
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.215-220
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    • 2005
  • Nowadays, various speech processing systems are being introduced in the fields of robotics. However, real-time processing and high performances are required to properly implement speech processing system for the autonomous robots. Achieving these goals requires advanced hardware techniques including intelligent software algorithms. For example, we need nonlinear amplifier boards which are able to adjust the compression radio (CR) via computer programming. And the necessity for noise reduction, double-buffering on EPLD (Erasable programmable logic device), simultaneous multi-channel AD conversion, distant sound localization will be explained in this paper. These ideas can be used to improve distant and omni-directional speech recognition. This speech processing system, based on embedded Linux system, is supposed to be mounted on the new home service robot, which is being developed at KIST (Korea Institute of Science and Technology)

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Development of a Simulator for Evolutionary Robots using Multi-robot Cooperation (다수 로봇 협업을 이용한 진화 로봇 시뮬레이터의 개발)

  • Son, Yun-Sik;Park, Ji-Woo;Jung, Jin-Woo;Oh, Se-Man
    • IEMEK Journal of Embedded Systems and Applications
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    • v.4 no.2
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    • pp.90-96
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    • 2009
  • In the original model-based paradigm in the field of motion planning of robots, robots had to play the focal role of considering all situations under which they made decisions and operate. Such paradigm makes it difficult to respond efficiently to the dynamically shifting environment such as disaster area. In order to handle such a situation that may be changed dynamically, a technology that allows a dynamic execution of data transmission and physical/network connection between multiple robots based on scenarios is required. In this paper, we deal with evolutionary robots that adapt to any given environment and execute scenarios, specially focused on the development of a simulator to test the evolutionary process of cooperated multiple robots.

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TDOA-Based Sound Source Localization to Control Intelligent Service Robot's Attention (지능형 서비스 로봇의 주의집중을 위한 시간지연 기반 실시간 음원추적 기술개발)

  • Bae, Kyung-Sook;Lee, Jae-Yeon;Kwak, Keun-Chang;Yoon, Ho-Sub
    • IEMEK Journal of Embedded Systems and Applications
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    • v.2 no.4
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    • pp.227-232
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    • 2007
  • 인간과 상호작용하는 로봇의 경우, 자연스러운 움직임과 행동은 사람에게 친근감을 제공한다. 그러한 자연스러운 움직임과 행동의 기반이 되는 요소기술들 중 하나로 음원추적을 꼽을 수 있다. 본 논문에서는 3개의 마이크를 장착한 로봇에서의 시간지연기반 음원추적 시스템에 대해 소개한다. 개발된 음원추적 시스템을 지능형 서비스 로봇 WEVER-R2에 적용한 결과, 에러율 ${\pm}15$도 이내에서 93% 이상의 성공률을 보였다.

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