• Title/Summary/Keyword: fish robot

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Collision Avoidance Using Omni Vision SLAM Based on Fisheye Image (어안 이미지 기반의 전방향 영상 SLAM을 이용한 충돌 회피)

  • Choi, Yun Won;Choi, Jeong Won;Im, Sung Gyu;Lee, Suk Gyu
    • Journal of Institute of Control, Robotics and Systems
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    • v.22 no.3
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    • pp.210-216
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    • 2016
  • This paper presents a novel collision avoidance technique for mobile robots based on omni-directional vision simultaneous localization and mapping (SLAM). This method estimates the avoidance path and speed of a robot from the location of an obstacle, which can be detected using the Lucas-Kanade Optical Flow in images obtained through fish-eye cameras mounted on the robots. The conventional methods suggest avoidance paths by constructing an arbitrary force field around the obstacle found in the complete map obtained through the SLAM. Robots can also avoid obstacles by using the speed command based on the robot modeling and curved movement path of the robot. The recent research has been improved by optimizing the algorithm for the actual robot. However, research related to a robot using omni-directional vision SLAM to acquire around information at once has been comparatively less studied. The robot with the proposed algorithm avoids obstacles according to the estimated avoidance path based on the map obtained through an omni-directional vision SLAM using a fisheye image, and returns to the original path. In particular, it avoids the obstacles with various speed and direction using acceleration components based on motion information obtained by analyzing around the obstacles. The experimental results confirm the reliability of an avoidance algorithm through comparison between position obtained by the proposed algorithm and the real position collected while avoiding the obstacles.

Development of the Fishbot Using Haptic Technology (햅틱기술을 이용한 피시봇 개발)

  • Lee, Young-Dae;Kang, Jeong-Jin;Moon, Chan-Woo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.10 no.4
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    • pp.77-82
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    • 2010
  • In this paper, a haptic fishing robot, Fishbot, for a Virtual Fishing System is presented. Fishbot is 3DOF robot and it consists of a XY table and a wheel motor. To simulate the motion of fish, XY table is controlled by position servo drivers with variable torque constraint, and wheel axis is controlled by torque servo driver. Finally, Fishibot detects the end point of fishing pole with cameras to recognize the pose of user, and it can interface with a Virtual Reality System.

Swimming Microrobot Actuated by External Magnetic Field (전자기 구동 유영 마이크로로봇)

  • Byun, Dong-Hak;Kim, Jun-Young;Baek, Seung-Man;Choi, Hyun-Chul;Park, Jong-Oh;Park, Suk-Ho
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.33 no.11
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    • pp.1300-1305
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    • 2009
  • The various electromagnetic based actuation(EMA) methods have been proposed for actuating microrobot. The advantage of EMA is that it can provide wireless driving to microrobot. In this reason a lot of researchers have been focusing on the EMA driven microrobot. This paper proposed a swimming microrobot driven by external alternating magnet field which is generated by two pairs of Helmholtz coils. The microrobot has a fish-like shape and consists of a buoyant robot body, a permanent magnet, and a fin. The fin is directly linked to the permanent magnet and the magnet is swung by the alternating magnet field, which makes the propulsion and steering power of the robot. In this paper, firstly, we designed the locomotive mechanism of the microrobot boy EMA. Secondly, we set up the control system. Finally, we demonstrated the swimming robot and evaluated the performance of the microrobot by the experiments.

A study on the C-shape Sharp Turn of fish robot according to biological mimic (생물학적 모방에 따른 물고기 로봇의 빠른 방향 전환 연구)

  • Park, Jin-Hyun;Lee, Tae-Hwan;Choi, Young-Kiu
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.12
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    • pp.2626-2631
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    • 2011
  • CST(C-shape sharp turn) represented the motion whereby fish bend their tail quickly in a C-shape to achieve an emergent changing of its swimming direction on fish swimming. But there is not yet the general motion trajectory functions related to CST. In this paper, we proposed the very simple motion functions related to CST sequence recorded from a real fish by biologists. Through the computer simulations, we confirmed the usefulness of the proposed function.

Improving the Performance of a Robotic Dolphin with a Compliant Caudal Fin (꼬리 지느러미의 유연성을 이용한 로봇 돌고래의 성능 향상)

  • Park, Yong-Jai;Cho, Kyu-Jin
    • The Journal of Korea Robotics Society
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    • v.9 no.4
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    • pp.225-231
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    • 2014
  • Fish generates thrust with a compliant fin which is known to increase the efficiency. In this paper, the performance of a robotic dolphin, the velocity and the stability, was improved using an optimal compliant caudal fin under certain oscillating frequency. Optimal compliance of the caudal fin exists that maximizes the thrust at a certain oscillating frequency. Four different compliant fins were used to find the optimal compliance of the caudal fin at a certain frequency using the half-pi phase delay condition. The swimming results show that the optimal compliant fin increases the velocity of the robotic fish. The compliance of the caudal fin was also shown to improve the stability of the robotic fish. A reactive motion at the head of the robotic dolphin causes fluctuation of the caudal fin. This phenomenon increases with the oscillating frequency. However, compliant fin reduced this fluctuation and increased the stability.

An Observation System of Hemisphere Space with Fish eye Image and Head Motion Detector

  • Sudo, Yoshie;Hashimoto, Hiroshi;Ishii, Chiharu
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.663-668
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    • 2003
  • This paper presents a new observation system which is useful to observe the scene of the remote controlled robot vision. This system is composed of a motionless camera and head motion detector with a motion sensor. The motionless camera has a fish eye lens and is for observing a hemisphere space. The head motion detector has a motion sensor is for defining an arbitrary subspace of the hemisphere space from fish eye lens. Thus processing the angular information from the motion sensor appropriately, the direction of face is estimated. However, since the fisheye image is distorted, it is unclear image. The partial domain of a fish eye image is selected by head motion, and this is converted to perspective image. However, since this conversion enlarges the original image spatially and is based on discrete data, crevice is generated in the converted image. To solve this problem, interpolation based on an intensity of the image is performed for the crevice in the converted image (space problem). This paper provides the experimental results of the proposed observation system with the head motion detector and perspective image conversion using the proposed conversion and interpolation methods, and the adequacy and improving point of the proposed techniques are discussed.

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Vision-based Self Localization Using Ceiling Artificial Landmark for Ubiquitous Mobile Robot (유비쿼터스 이동로봇용 천장 인공표식을 이용한 비젼기반 자기위치인식법)

  • Lee Ju-Sang;Lim Young-Cheol;Ryoo Young-Jae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.15 no.5
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    • pp.560-566
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    • 2005
  • In this paper, a practical technique for correction of a distorted image for vision-based localization of ubiquitous mobile robot. The localization of mobile robot is essential and is realized by using camera vision system. In order to wide the view angle of camera, the vision system includes a fish-eye lens, which distorts the image. Because a mobile robot moves rapidly, the image processing should he fast to recognize the localization. Thus, we propose the practical correction technique for a distorted image, verify the Performance by experimental test.

Neural network based distortion correction of wide angle lens (신경회로망을 이용한 광각렌즈의 왜곡보정)

  • 정규원
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.299-301
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    • 1996
  • Since a standard lens has small sight angle, a fish-eye lens can be used in order to obtain wide sight angle for the robot vision system. In spite of the advantage, the image through the lens has variable resolution; the central information of the lens is of high resolution, but the peripheral information is of low resolution. Owing to this difference of resolution, the variable resolution image should be transformed to a uniform resolution image in order to determine the positions of the objects in the image. In this work, the correction method for the distorted image is presented and the performance is analyzed. Furthermore, the camera with a fish eye lens can be used to determine the real world coordinates. The performance is shown through experiments.

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Development of Artificial Lateral Line Sensor for Flow Velocity and Angle Measurements (유속 및 각도 측정을 위한 인공 옆줄 센서 개발)

  • Kim, Jinhyun
    • Journal of Sensor Science and Technology
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    • v.30 no.1
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    • pp.30-35
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    • 2021
  • To operate an underwater robot in an environment with fluid flow, it is necessary to recognize the speed and direction of the fluid and implement motion control based on these characteristics. Fish have a lateral line that performs this function. In this study, to develop an artificial lateral line sensor that mimics a fish, we developed a method to measure the flow speed and the incident angle of the fluid using a pressure sensor. Several experiments were conducted, and based on the results, the tendency according to the change in the flow speed and the incident angle of the fluid was confirmed. It is believed that additional research can aid in the development of an artificial lateral line sensor.

Unity Engine-based Underwater Robot 3D Positioning Program Implementation (Unity Engine 기반 수중 로봇 3차원 포지셔닝 프로그램 구현)

  • Choi, Chul-Ho;Kim, Jong-Hun;Kim, Jun-Yeong;Park, Jun;Park, Sung-Wook;Jung, Se-Hoon;Sim, Chun-Bo
    • Smart Media Journal
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    • v.11 no.9
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    • pp.64-74
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    • 2022
  • A number of studies related to underwater robots are being conducted to utilize marine resources. However, unlike ordinary drones, underwater robots have a problem that it is not easy to locate because the medium is water, not air. The monitoring and positioning program of underwater robots, an existing study for identifying underwater locations, has difficulty in locating and monitoring in small spaces because it aims to be utilized in large spaces. Therefore, in this paper, we propose a three-dimensional positioning program for continuous monitoring and command delivery in small spaces. The proposed program consists of a multi-dimensional positioning monitoring function and a ability to control the path of travel through a three-dimensional screen so that the depth of the underwater robot can be identified. Through the performance evaluation, a robot underwater could be monitored and verified from various angles with a 3D screen, and an error within the assumed range was verified as the difference between the set path and the actual position is within 6.44 m on average.