• 제목/요약/키워드: Vertical Obstacle

검색결과 55건 처리시간 0.024초

곤돌라형 외벽 유지보수 로봇의 수직위치 센서 개발에 관한 연구 (A Study on the Development of Height Estimation Sensor for Gondola-typed Façade Robot)

  • 윤종수;김동엽;박창우
    • 한국정밀공학회지
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    • 제30권4호
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    • pp.383-389
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    • 2013
  • Demand for high-rising building has arisen. However, its maintenance is usually executed by labour. It could have a severe problem. We proposed a gondola robot to solve it. In this paper, we designed a height estimation sensor for this gondola. It is consist of pan-tilt unit, ARS sensor, and laser sensor. The pan-tilt unit keeps the laser sensor to indicate the gravity direction by referencing the ARS. The laser sensor's range is vertical distance from gondola to ground. However, if there is an obstacle under the gondola, the distance includes its height. To filter it out, we apply a Kalman filter for the height estimation. If the estimated height is changed extremely, the filter decides that there is an obstacle. Then, it remembers the height of obstacle. Other extreme changes of height estimations are reflected. The experimental results using the proposed sensor system show detail flow of the height estimation.

휠-다리 로봇의 장애물극복 모션 계획 및 제어 방법 (Motion Planning and Control of Wheel-legged Robot for Obstacle Crossing)

  • 정순규;원문철
    • 로봇학회논문지
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    • 제17권4호
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    • pp.500-507
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    • 2022
  • In this study, a motion planning method based on the integer representation of contact status between wheels and the ground is proposed for planning swing motion of a 6×6 wheel-legged robot to cross large obstacles and gaps. Wheel-legged robots can drive on a flat road by wheels and overcome large obstacles by legs. Autonomously crossing large obstacles requires the robot to perform complex motion planning of multi-contacts and wheel-rolling at the same time. The lift-off and touch-down status of wheels and the trajectories of legs should be carefully planned to avoid collision between the robot body and the obstacle. To address this issue, we propose a planning method for swing motion of robot legs. It combines an integer representation of discrete contact status and a trajectory optimization based on the direct collocation method, which results in a mixed-integer nonlinear programming (MINLP) problem. The planned motion is used to control the joint angles of the articulated legs. The proposed method is verified by the MuJoCo simulation and shows that over 95% and 83% success rate when the height of vertical obstacles and the length of gaps are equal to or less than 1.68 times of the wheel radius and 1.44 times of the wheel diameter, respectively.

수중에서 회전조절과 장애물 훈련이 편마비 환자의 전정기능과 균형조절에 미치는 영향 (The Effect of Balance Control and Vestibular Function by an Aquatic Rotation Control and the Obstacle Avoidance Underwater with Hemiplegia Patients)

  • 권혜민;김수현;김현진;오석;최지호;김태열
    • 대한임상전기생리학회지
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    • 제8권1호
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    • pp.43-50
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    • 2010
  • Purpose : The objective of this study is to effect of an aquatic rotation control and obstacle avoidance when conducted underwater on hemiplegia patient's balance ability and vestibular function. Methods : Twelve hemiplegia patients participated and were randomly assigned to a control group(I) with standard physical therapy and an aquatic group(II) with an aquatic rotation control, obstacle avoidance and standard physical therapy as well. The aquatic group trained using a Halliwick rotation control and obstacle avoidance through 3 times per week over 6 weeks. For all subjects, vestibular function, their balance, the change of electrooculogram (EOG), the change of accelerometer axis and torsiometer according to visual sense, vestibular sense with galvanic vestibular stimulation (GVS) or not during leg close stance were measured. Results : The EOG in the vertical and horizontal (p<0.05) were both significantly lowered. The change was significantly lower in the trajectory range of motion of trunk and spine with torsiometer when leg close stand (p<0.01) and leg close stand with GVS (p<0.01). The centre of gravity accelerated, there were reduced significantly difference X and Y axis of accelerometer during the closing of the leg without vision (p<0.05). There were reduced significantly difference X and Z axis of accelerometer during the closing of the leg with GVS (p<0.05). There were reduced significantly difference X and Z axis of accelerometer during the closing of the leg and close eyes with GVS (p<0.05). Conclusion : The balance ability, vestibular system and postural control is improved.

여유 자유도 매니퓰레이터의 작업공간 적응제어 (Task-based adaptive control of redundant manipulators)

  • 남헌성;유준
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국내학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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    • pp.895-901
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    • 1993
  • This paper present controller designs based on the configuration control framework for a redundant manipulator to accomplish the basic task of desired, end-effector motion, while utilizing the redundancy to achieve the additional tasks such as joint motion control, obstacle avoidance, singularity avoidance. etc. A task based decentralized adaptive scheme is then applied for the configuration variables to track some reference trajectories as close as possible. Simulation results for a direct-drive three-link arm in the vertical plane demonstrate its capabilities for performing various useful tasks.

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차량의 임팩트하쉬니스 성능 예측 연구 (A Study on the Prediction of the Impact Harshness for a Passenger Vehicle)

  • 김진홍;정일수;김명규;심정수;이상우
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2012년도 추계학술대회 논문집
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    • pp.613-616
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    • 2012
  • A multi body simulation (MBS) model is developed for predicting the impact harshness of the vehicle. Impact harshness is the vehicle performance to evaluate the impulsive vibration behavior during driving over an obstacle of the road. Thus, the approach is simulated on the time domain for considering the transient behavior of the vehicle. The validity of vehicle component modeling of bushes, dampers and structure flexibilities is verified. The simulations are compared with the test results in both of vertical and longitudinal directions. In particular, the vertical vibration of the vehicle is significantly affected by the body flexibility. Through the sensitivity analysis, main factors for the impact harshness performance are investigated.

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연직인장계류된 원형부유체의 파랑응답에 관한 연구 (A Study on Wave Responses of Vertical Tension-Leg Circular Floating Bodies)

  • 이광호;김창훈;김도삼
    • 한국해안·해양공학회논문집
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    • 제23권3호
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    • pp.248-257
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    • 2011
  • 본 연구에서는 규칙파동장에 있어서 인장계류된 원형부유체의 파랑응답해석에 2차원 Navier-Stokes solver에 기초한 새로운 수치파동수조모델을 제안하였다. 본 수치파동수조모델에서는 이동구조물과 유체와의 상호작용을 해석하기 위하여 직각좌표계에서 임의형상의 불투과경계를 갖는 구조물과 유체와의 연성해석이 가능한 IBM(Immersed Boundary Method)과 자유수면 추적을 위한 VOF(Volume of Fluid)법을 결합하였다. 부유체운동에 대한 수치결과를 기존의 FAVOR(Fractional Area Volume Obstacle Representation)법에 의한 계산결과 및 수리실험과 비교하였다. 게다가, 수치모델의 보다 자세한 검증을 위하여 원형부유체의 동요 및 자유수면변동에 관한 수리모형을 추가로 실시하였고, 제안된 수치모델의 범용성과 타당성을 검증하기 위하여 직사각형부유체에 대한 수치 및 수리실험도 병행하였다. 이로부터 추정된 수치계산결과는 실험결과를 잘 재현하고 있는 것으로 판단되었다.

Numerical and wind tunnel simulation of pollutant dispersion in the near wake of buildings

  • Wang, X.;McNamara, K.F.
    • Wind and Structures
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    • 제8권6호
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    • pp.427-442
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    • 2005
  • Numerical and wind tunnel simulations of pollutant dispersion around rectangular obstacles with five aspect ratios have been conducted in order to identify the effects of flow patterns induced by buildings on plume dispersion in the near wake of buildings. An emission from a low source located upwind of obstacles was used in this simulation. The local flow patterns and concentrations around a cubical obstacle were initially investigated using three RANS turbulence models, (the standard $k-{\varepsilon}$, Shear Stress Transport (SST), Reynolds-Stress RSM turbulence model) and also using Large-eddy simulation (LES). The computed concentrations were compared with those measured in the wind tunnel. Among the three turbulence models, the SST model offered the best performance and thus was used in further investigations. The results show, for normal aspect ratios of width to height, that concentrations in the near wake are appreciably affected because of plume capture by the horseshoe vortex and convection by the vertical vortex pairs. These effects are less important for high aspect ratios. Vertical vortex pairs present a strong ability to exchange mass vertically and acts efficiently to reduce ground-level concentrations in the near wake.

특정 공항에서의 VFR 항공기 레이다 항적자료 분석 연구 (A Study on the Radar Data Analysis of VFR Aircraft at an Airport)

  • 이경한;김도현;신대원
    • 한국항공운항학회지
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    • 제27권4호
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    • pp.37-43
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    • 2019
  • Obstacle limitation surfaces are imaginary space surfaces that must be clear of obstacles for the aircraft to safely take off and land on the aerodrome. These surfaces are closely related to the safety of the VFR aircraft, which require a pilot to be able to see outside the cockpit, to control the aircraft's altitude, navigate, and avoid obstacles and other aircraft. The Republic of Korea, which has a lot of restrictions on the use of airspace, cannot provide a rich operating environment for VFR aircraft. Under these circumstances, safer operation will not be guaranteed if additional factors that directly or indirectly affect existing VFR routes, such as drone delivery services. This study analyzes and models the track distribution of each VFR section based on radar track data around a specific airport. Through this study, we estimate the three-dimensional space for VFR aircraft and provide the data for future research such as airspace analysis of VFR corridors and correlation with obstacle limitation surfaces.

심층 강화학습을 이용한 휠-다리 로봇의 3차원 장애물극복 고속 모션 계획 방법 (Fast Motion Planning of Wheel-legged Robot for Crossing 3D Obstacles using Deep Reinforcement Learning)

  • 정순규;원문철
    • 로봇학회논문지
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    • 제18권2호
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    • pp.143-154
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    • 2023
  • In this study, a fast motion planning method for the swing motion of a 6x6 wheel-legged robot to traverse large obstacles and gaps is proposed. The motion planning method presented in the previous paper, which was based on trajectory optimization, took up to tens of seconds and was limited to two-dimensional, structured vertical obstacles and trenches. A deep neural network based on one-dimensional Convolutional Neural Network (CNN) is introduced to generate keyframes, which are then used to represent smooth reference commands for the six leg angles along the robot's path. The network is initially trained using the behavioral cloning method with a dataset gathered from previous simulation results of the trajectory optimization. Its performance is then improved through reinforcement learning, using a one-step REINFORCE algorithm. The trained model has increased the speed of motion planning by up to 820 times and improved the success rates of obstacle crossing under harsh conditions, such as low friction and high roughness.