• Title/Summary/Keyword: Robot Sensor

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Ring Array of Structured Light Image Based Ranging Sensor and Autonomous Navigation for Mobile Robot (이동로봇을 위한 링 배열 구조광 영상 기반 거리측정 센서 및 자율주행)

  • Shin, Jin;Yi, Soo-Yeong
    • Journal of Institute of Control, Robotics and Systems
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    • v.18 no.6
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    • pp.571-578
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    • 2012
  • In the paper, we proposed a ring type structured light image based embedded ranging sensor for a mobile robot. Since the proposed ranging sensor obtains omnidirectional object distance, it is useful for autonomous navigation of a mobile robot. By matching the local omnidirectional distance map with a given global object map, it is possible to get position and heading angle of mobile robot in the global coordinates. Experiments for matching and navigation were carried out to verify the performance of the proposed ranging sensor.

Mobile Robot Localization using Range Sensors: Consecutive Scanning and Cooperative Scanning

  • Lee Sooyong;Song Jae-Bok
    • International Journal of Control, Automation, and Systems
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    • v.3 no.1
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    • pp.1-14
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    • 2005
  • This paper presents an obstacle detection algorithm based on the consecutive and the cooperative range sensor scanning schemes. For a known environment, a mobile robot scans the surroundings using a range sensor that can rotate 3600°. The environment is rebuilt using nodes of two adjacent walls. The robot configuration is then estimated and an obstacle is detected by comparing characteristic points of the sensor readings. In order to extract edges from noisy and inaccurate sensor readings, a filtering algorithm is developed. For multiple robot localization, a cooperative scanning method with sensor range limit is developed. Both are verified with simulation and experiments.

Development of Direct Teaching Control using ITO Touch Panel (ITO 터치 패널 이용한 교시 제어 연구)

  • Yoon, Jae Seok;Nam, Sang Yep;Kim, Ki Eun;Kim, Dong-Han
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.3
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    • pp.206-212
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    • 2015
  • This paper proposes the physical human-robot interaction method that controls the robot arms using ITO touch panel sensor as the skin of robot. To implement physical human-robot interaction, the method of using the force/torque sensor and the method of using tactile sensor created by arranging small element type of sensor have been studied. However, these sensors have the pros and cons in terms of price and performance. This study aims to demonstrate the economy of element type sensor and the accuracy of force/torque sensor through experiment by proposing the method of physical interaction using the touch panel as the skin of robot, and by constructing overall system. The experiment was carried out for the method of controlling the robot arm by installing end-effecter and the method of controlling robot arm by creating the gesture with reference point on the touch panel. Through this experiment, the possibility of teaching control using the touch panel was confirmed.

Development of a small 6-axis force/moment sensor for robot's finger (로봇 손가락용 소형 6축 힘/모멘트센서 개발)

  • 김갑순;이상호
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2003.06a
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    • pp.490-493
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    • 2003
  • This paper describes the development of a small 6-axis force/moment sensor for robot's finger, which measures forces Fx. Fy, Fz, and moments Mx, My, Mz simultaneously. In order to safely grasp an unknown object using the robot's gripper, and accurately perceive the position of it in the gripper, it should measure the force in the gripping direction, the force in the gravity direction and the moments each direction. and perform the control using the measured forces and moments. Thus, the robot's gripper should be composed of 6-axis force/moment sensor that can measure forces Fx, Fy, Fz, and moments Mx, My. Mz simultaneously. In this paper, the small 6-axis force/moment sensor for measuring forces Fx, Fy, Fz, and moments Mx, My, Mz simultaneously was newly modeled using several parallel-plate beams, designed, and fabricated. The characteristic test of made sensor was performed, and the result shows that interference errors or the developed sensor are less than 3%. Thus, the developed small 6-axis force/moment sensor may be used for robot's gripper.

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Development of a Small 6-axis Force/Moment Sensor for Robot′s Finger (로봇 손가락용 소형 6축 힘/모멘트센서 개발)

  • 김갑순
    • Journal of the Korean Society for Precision Engineering
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    • v.21 no.3
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    • pp.51-58
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    • 2004
  • This paper describes the development of a small 6-axis force/moment sensor for robot's finger, which measures farces Fx, Fy, Fz, and moments Mx, My, Mz simultaneously. In order to safely grasp an unknown object using the robot's gripper, and accurately perceive the position of it in the gripper, it should measure the force in the gripping direction, the force in the gravity direction and the moments each direction, and perform the force control using the measured forces and moments. Also, it should detect the moments Mx (x-direction moment), My and Mz to accurately perceive the position of the object in the grippers. Thus, the robot's gripper should be composed of 6-axis force/moment sensor that can measure forces Fx, Fy, Fz, and moments Mx, My, Mz simultaneously. In this paper, the small 6-axis force/moment sensor for measuring forces Fx, Fy, Fz, and moments Mx, My, Mz simultaneously was newly modeled using several parallel-plate beams, designed, and fabricated. The characteristic test for the developed sensor was performed, and the result shows that intereference errors of the developed sensor are less than 4.23%. Thus, the developed small 6-axis force/moment sensor may be used a robot's gripper.

Development of a Grinding Robot System for the Engine Cylinder Liner's Oil Groove (실린더 라이너 오일그루브 가공 로봇 시스템 개발)

  • Noh, Tae-Yang;Lee, Yun-Sik;Jung, Chang-Wook;Oh, Yong-Chul
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.33 no.6
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    • pp.614-619
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    • 2009
  • An engine for marine propulsion and power generation consists of several cylinder liner-piston sets. And the oil groove is on the cylinder liner inside wall for the lubrication between a piston and cylinder. The machining process of oil groove has been carried by manual work so far, because of the diversity of the shape. Recently, we developed an automatic grinding robot system for oil groove machining of engine cylinder liners. It can covers various types of oil grooves and adjust its position by itself. The grinding robot system consists of a robot, a machining tool head, sensors and a control system. The robot automatically recognizes the cylinder liner's inside configuration by using a laser displacement sensor and a vision sensor after the cylinder liner is placed on a set-up equipment.

Online Dynamic Modeling of Ubiquitous Sensor based Embedded Robot Systems using Kalman Filter Algorithm (칼만 필터 알고리즘을 이용한 유비쿼터스 센서 기반 임베디드 로봇시스템의 온라인 동적 모델링)

  • Cho, Hyun-Cheol;Lee, Jin-Woo;Lee, Young-Jin;Lee, Kwon-Soon
    • Journal of Institute of Control, Robotics and Systems
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    • v.14 no.8
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    • pp.779-784
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    • 2008
  • This paper presents Kalman filter based system modeling algorithm for autonomous robot systems. State of the robot system is measured using embedded sensor systems and then carried to a host computer via ubiquitous sensor network (USN). We settle a linear state-space motion equation for unknown robot system dynamics and modify a popular Kalman filter algorithm in deriving suitable parameter estimation mechanism. To represent time-delay nature due to network media in system modeling, we construct an augmented state-space model which is mainly composed of original state and estimated parameter vectors. We conduct real-time experiment to test our proposed estimation algorithm where speed state of the constructed robot is used as system observation.

Non-Linear Error Identifier Algorithm for Configuring Mobile Sensor Robot

  • Rajaram., P;Prakasam., P
    • Journal of Electrical Engineering and Technology
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    • v.10 no.3
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    • pp.1201-1211
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    • 2015
  • WSN acts as an effective tool for tracking the large scale environments. In such environment, the battery life of the sensor networks is limited due to collection of the data, usage of sensing, computation and communication. To resolve this, a mobile robot is presented to identify the data present in the partitioned sensor networks and passed onto the sink. In novel data collection algorithm, the performance of the data collecting operation is reduced because mobile robot can be used only within the limited range. To enhance the data collection in a changing environment, Non Linear Error Identifier (NLEI) algorithm has been developed and presented in this paper to configure the robot by means of error models which are non-linear. Experimental evaluation has been conducted to estimate the performance of the proposed NLEI and it has been observed that the proposed NLEI algorithm increases the error correction rate upto 42% and efficiency upto 60%.

Trends of Sensor-based Intelligent Arc Welding Robot System (센서기반 지능형 아크 용접 로봇 시스템의 동향)

  • Joung, Ji Hoon;Shin, Hyeon-Ho;Song, Young Hoon;Kim, SooJong
    • Journal of Institute of Control, Robotics and Systems
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    • v.20 no.10
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    • pp.1051-1056
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    • 2014
  • In this paper, we introduce an intelligent robotic arc welding system which exploits sensors like as LVS (Laser Vision Sensor), Hall effect sensor, voltmeter and so on. The use of industrial robot is saturated because of its own limitation, and one of the major limitations is that industrial robot cannot recognize the environment. Lately, sensor-based environmental awareness research of the industrial robot is performed actively to overcome such limitation, and it can expand application field and improve productivity. We classify the sensor-based intelligent arc welding robot system by the goal and the sensing data. The goals can be categorized into detection of a welding start point, tracking of a welding line and correction of a torch deformation. The Sensing data can be categorized into welding data (i.e. current, voltage and short circuit detection) and displacement data (i.e. distance, position). This paper covers not only the explanation of the each category but also its advantage and limitation.

Global Map Building and Navigation of Mobile Robot Based on Ultrasonic Sensor Data Fusion

  • Kang, Shin-Chul;Jin, Tae-Seok
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.7 no.3
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    • pp.198-204
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    • 2007
  • In mobile robotics, ultrasonic sensors became standard devices for collision avoiding. Moreover, their applicability for map building and navigation has exploited in recent years. In this paper, as the preliminary step for developing a multi-purpose autonomous carrier mobile robot to transport trolleys or heavy goods and serve as robotic nursing assistant in hospital wards. The aim of this paper is to present the use of multi-sensor data fusion such as ultrasonic sensor, IR sensor for mobile robot to navigate, and presents an experimental mobile robot designed to operate autonomously within both indoor and outdoor environments. The global map building based on multi-sensor data fusion is applied for recognition an obstacle free path from a starting position to a known goal region, and simultaneously build a map of straight line segment geometric primitives based on the application of the Hough transform from the actual and noisy sonar data. We will give an explanation for the robot system architecture designed and implemented in this study and a short review of existing techniques, Hough transform, since there exist several recent thorough books and review paper on this paper. Experimental results with a real Pioneer DX2 mobile robot will demonstrate the effectiveness of the discussed methods.