• Title/Summary/Keyword: robot systems

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Swing Up and Stabilization Control of the Pendubot

  • Yoo, Ki-Jeong;Yang, Dong-Hoon;Hong, Suk-Kyo
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.71.4-71
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    • 2001
  • This paper presents swing up and stabilization control of an underactuated two-link robot called the Pendubot. This device is a two-link planar robot with an actuator at the shoulder, but no actuator at the elbow. The controller swings up first link from its open loop stable equilibrium point to the unstable equilibrium point and then, catches the unactuated second link to balance it there. Two control algorithms are used for this task. Proportional Derivative Control technique is used to design the swing up control. The linear model of Pendubot is obtained by linearizing the nonlinear dynamic equations about the desired equilibrium point and LQR technique is used to design a stabilization controller.

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ROBHAZ-DT : Variable Configuration Double-Track Mobile Robot for Hazardous Environment Applications

  • Changhyun Cho;Park, Changwoo;Sungchul Kang;Kim, Munsang;Lee, Cheonghee;Kwak, Yoon-Keun
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.30.4-30
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    • 2001
  • In this paper, design and integration of a newly developed double-tracked mobile robot called ROBHAZ-DT are introduced. It is designed to carry out military and civil missions in various hazardous environments such as the areas of fire, war, disaster and mine field etc. ROBHAZ-DT is configured with three mechanical bodies, namely front, rear and main body. By using its rotational passive adaptation mechanism equipped between the front and rear bodies, ROBHAZ-DT shows a good mobile capability on uneven terrain including stairs. The passive adaptation mechanism reduces energy consumption and offers simplicity in the design of the ROBHAZ-DT ...

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A Hybrid Method for Mobile Robot Probabilistic Localization Using a Single Camera

  • Kubik, Tomasz;Loukianov, Andrey A.
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.36.5-36
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    • 2001
  • Localization is one of the key problems in the navigation of autonomous mobile robots. The probabilistic Markov localization approaches offer a good mathematical framework to deal with the uncertainty of environment and sensor readings but their use for realtime applications is limited by their computational complexity. This paper aims to reduce the high computational cost associated with the probabilistic Markov localization algorithm. We propose a hybrid landmark-based localization method combining triangulation and probabilistic approaches, which can efficiently update position probability grid, while the probabilistic framework allows to make use of any available sensor data to refine robot´s belief about its current location. The simulation results show the effectiveness and robustness of the method.

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Design of a Wheeled Blimp

  • Sungchul Kang;Mihee Nam;Park, Changwoo;Kim, Munsang
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.30.5-30
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    • 2001
  • This paper describes a new design of blimp having wheeled vehicle part. This system can work both on the ground using wheeled vehicle and in the air using the floating capability of the blimp part. The passive wheeled mechanism in the vehicle part enables the stable taking off, landing on as well as it is greatly helpful to keep a stationary position on the floor. On the other hand, the floating capability enables the wheeled blimp to fly freely regardless of the ground condition or obstacles. The wheeled blimp can be used as an agent robot for the tole-presence application. Using multimedia devices such as camera, speaker, LCD and microphone mounted on the blimp surface, this system can get necessary information at the local site and communicate with person from a distance. As a typical tele-presence application, the wheeled blimp is currently being developed to a tole-guidance robot working in public indoor areas such 35 exhibition halls, departments, hospitals, etc ...

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Estimation of Human Location in Indoor Environment using BLE-based Beacon (BLE기반 비콘을 이용한 실내 환경에서의 사용자 위치추정)

  • Lim, Su-Jong;Sung, Min-Gwan;Yun, Sang-Seok
    • IEMEK Journal of Embedded Systems and Applications
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    • v.16 no.5
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    • pp.195-200
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    • 2021
  • In this paper, we propose a method for a mobile robot to estimate a specific location of a service provision target using a beacon-tag for the purpose of providing location-based services (LBS) to users in an indoor environment. To estimate the location, the irregular characteristics and error factors of the received signal strength indicator (RSSI) generated from the beacon are analyzed, and the distance conversion function is derived from the RSSI data extracted by applying a Gaussian filter. Then, the distance data converted from the plurality of beacons estimates an indoor location through a triangulation technique. After that, the improvement in the location estimation is analyzed by applying the temporal confidence reasoning technique. The possibility of providing a LBS of a mobile robot was confirmed through a location estimation experiment for a plurality of designated locations in an indoor environment.

Development and Implementation of Smart Manufacturing Big-Data Platform Using Opensource for Failure Prognostics and Diagnosis Technology of Industrial Robot (제조로봇 고장예지진단을 위한 오픈소스기반 스마트 제조 빅데이터 플랫폼 구현)

  • Chun, Seung-Man;Suk, Soo-Young
    • IEMEK Journal of Embedded Systems and Applications
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    • v.14 no.4
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    • pp.187-195
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    • 2019
  • In the fourth industrial revolution era, various commercial smart platforms for smart system implementation are being developed and serviced. However, since most of the smart platforms have been developed for general purposes, they are difficult to apply / utilize because they cannot satisfy the requirements of real-time data management, data visualization and data storage of smart factory system. In this paper, we implemented an open source based smart manufacturing big data platform that can manage highly efficient / reliable data integration for the diagnosis diagnostic system of manufacturing robots.

Education content development for Computing thinking Utilizing Arduino and humanoid robot (아두이노와 휴머노이드 로봇을 활용하여 컴퓨팅 사고력 교육을 위한 융합 콘텐츠 개발)

  • Lee, Jun-Hyeong;Lee, Hyeong-Ok
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.10a
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    • pp.684-687
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    • 2016
  • This paper proposes education content for computing thinking that using Arduino and active humanoid robot. The hardware and software convergence activity can be Problem-solving skills enhancement and increase the systems thinking.

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Development of ROS-based Flight and Mission State Communication Node for X-Plane 11-based Flight Simulation Environment

  • Cho, Sungwook
    • Journal of Aerospace System Engineering
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    • v.15 no.4
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    • pp.75-84
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    • 2021
  • A novel robot-operating-system-based flight and mission state communication node for X-Plane 11 flight control simulation environments and its simulation results were discussed. Although the proposed communication method requires considerable implementation steps compared with the conventional MATLAB/Simulink-based User Datagram Protocol (UDP) block utilization method, the proposed method enables a direct comparison of cockpit-view images captured during flight with the flight data. This comparison is useful for data acquisition under virtual environments and for the development of flight control systems. The fixed/rotary-wing and ground terrain elements simulated in virtual environments exhibited excellent visualization outputs, which can overcome time and space constraints on flight experiments and validation of missionary algorithms with complex logic.

Distributed Model Predictive Formation Control of UGV Swarm Guaranteeing Collision Avoidance (충돌 회피가 보장된 분산화된 군집 UGV의 모델 예측 포메이션 제어)

  • Park, Seong-Chang;Lee, Seung-Mok
    • IEMEK Journal of Embedded Systems and Applications
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    • v.17 no.2
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    • pp.115-121
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    • 2022
  • This paper proposes a distributed model predictive formation control algorithm for a group of unmanned ground vehicles (UGVs) with guaranteeing collision avoidance between UGVs. Generally, the model predictive control based formation control has a disadvantage in that it takes a long time to compute control inputs when considering collision avoidance between UGVs. In this paper, in order to overcome this problem, the formation control algorithm is implemented in a distributed manner so that it could be individually controlled. Also, a collision-avoidance method considering real-time is proposed. The proposed formation control algorithm is implemented based on robot operating system (ROS), open source-based middleware. Through the various simulation tests, it is confirmed that the formation control of five UGVs is successfully performed while avoiding collisions between UGVs.

Loosely Coupled LiDAR-visual Mapping and Navigation of AMR in Logistic Environments (실내 물류 환경에서 라이다-카메라 약결합 기반 맵핑 및 위치인식과 네비게이션 방법)

  • Choi, Byunghee;Kang, Gyeongsu;Roh, Yejin;Cho, Younggun
    • The Journal of Korea Robotics Society
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    • v.17 no.4
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    • pp.397-406
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    • 2022
  • This paper presents an autonomous mobile robot (AMR) system and operation algorithms for logistic and factory facilities without magnet-lines installation. Unlike widely used AMR systems, we propose an EKF-based loosely coupled fusion of LiDAR measurements and visual markers. Our method first constructs occupancy grid and visual marker map in the mapping process and utilizes prebuilt maps for precise localization. Also, we developed a waypoint-based navigation pipeline for robust autonomous operation in unconstrained environments. The proposed system estimates the robot pose using by updating the state with the fusion of visual marker and LiDAR measurements. Finally, we tested the proposed method in indoor environments and existing factory facilities for evaluation. In experimental results, this paper represents the performance of our system compared to the well-known LiDAR-based localization and navigation system.