• 제목/요약/키워드: Logistic Robot

검색결과 8건 처리시간 0.021초

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

  • 최병희;강경수;노예진;조영근
    • 로봇학회논문지
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    • 제17권4호
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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.

2차원 라이다 센서 데이터 분류를 이용한 적응형 장애물 회피 알고리즘 (Adaptive Obstacle Avoidance Algorithm using Classification of 2D LiDAR Data)

  • 이나라;권순환;유혜정
    • 센서학회지
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    • 제29권5호
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    • pp.348-353
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    • 2020
  • This paper presents an adaptive method to avoid obstacles in various environmental settings, using a two-dimensional (2D) LiDAR sensor for mobile robots. While the conventional reaction based smooth nearness diagram (SND) algorithms use a fixed safety distance criterion, the proposed algorithm autonomously changes the safety criterion considering the obstacle density around a robot. The fixed safety criterion for the whole SND obstacle avoidance process can induce inefficient motion controls in terms of the travel distance and action smoothness. We applied a multinomial logistic regression algorithm, softmax regression, to classify 2D LiDAR point clouds into seven obstacle structure classes. The trained model was used to recognize a current obstacle density situation using newly obtained 2D LiDAR data. Through the classification, the robot adaptively modifies the safety distance criterion according to the change in its environment. We experimentally verified that the motion controls generated by the proposed adaptive algorithm were smoother and more efficient compared to those of the conventional SND algorithms.

컨테이너 수평이송을 위한 이송로봇 개발 (A Development of Transfer Robot for Container Loading/unloading Horizontally)

  • 이영진;한동섭;조현철;한근조;구경완;이권순
    • 전기학회논문지
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    • 제60권1호
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    • pp.221-229
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    • 2011
  • Recently, intermodal transportation systems are significantly considered as enhanced technique or future railroad logistics. These are aimed for particularly reducing complicated job process in the railroad based transportation and relevant logistic cost in economic viewpoint. In this paper we suggest a horizontal transfer system using hydro-motor and hydro-cylinder for intermodal transportation system. This system can assist to transfer the containers horizontally for train logistics automations.

IoT 기반의 병원용 물류 로봇의 안전한 운행을 위한 장애물 인식에 관한 연구 (A Study on Object Recognition for Safe Operation of Hospital Logistics Robot Based on IoT)

  • 강민수;임춘화;이재연;최은혜;이상광
    • 한국인터넷방송통신학회논문지
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    • 제17권2호
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    • pp.141-146
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    • 2017
  • 최근 지속적으로 발생하고 있는 메르스와 같은 신종 감염병은 초기발견, 격리, 위기대응 등 많은 대응책을 필요로하고 있으며 아울러 일반인의 문병과 간호 간병 통합서비스 시행 등 병원의 문화가 바뀌는 추세이다. 그러나 병원에서 근무하는 의료인의 자격조건, 규정 등이 까다로와지면서 해외에서는 린넨, 폐기물, 수액 이동 등 로봇으로 가능한 부분은 대체하는 추세이다. 본 연구에서는 병원 내에서 발생하는 각종 물품의 배송 업무를 수행할 수 있는 IoT 기반의 병원 물류 로봇으로 다양한 종류의 물건을 원하는 위치까지 안전하게 이동 할 수 있는 기술에 대하여 연구하였다. 병원 내 로봇의 이동은 사람 또는 사물간 충돌을 발생 시킬 수 있기 때문에 충돌을 최소화 해야 한다. 충돌을 최소화하기 위해서는 로봇의 이동 경로에 사물의 유무를 판단하고 사물이 있다면 이동하는 것인지 아닌지를 인지해야 한다. 그래서 얼굴/전신정보 검출과 3D Vision 영상분할 기술을 이용하여 장애물의 상황 정보를 생성하였다. 생성 된 정보를 활용하여 로봇 이동 범위 내 사물과 사람을 고려한 맵을 생성하여 로봇이 안전하고 효율적으로 운행 될 수 있도록 하였다.

Risk factors for prostate-specific antigen persistence in pT3aN0 prostate cancer after robot-assisted laparoscopic radical prostatectomy: a retrospective study

  • Jun Seop Kim;Jae Hoon Chung;Wan Song;Minyong Kang;Hyun Hwan Sung;Hwang Gyun Jeon;Byong Change Jeong;Seong Il Seo;Hyun Moo Lee;Seong Soo Jeon
    • Journal of Yeungnam Medical Science
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    • 제40권4호
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    • pp.412-418
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    • 2023
  • Background: The aim of this study was to evaluate the risk factors for prostate-specific antigen (PSA) persistence in pathological stage T3aN0 prostate cancer (PCa) after robot-assisted laparoscopic radical prostatectomy (RALP). Methods: A retrospective study was performed on 326 patients with pT3aN0 PCa who underwent RALP between March 2020 and February 2022. PSA persistence was defined as nadir PSA of >0.1 ng/mL after RALP, and the risk factors for PSA persistence were evaluated using logistic regression analysis. Results: Among 326 patients, 61 (18.71%) had PSA persistence and 265 (81.29%) had PSA of <0.1 ng/mL after RALP (successful radical prostatectomy [RP] group). In the PSA persistence group, 51 patients (83.61%) received adjuvant treatment. Biochemical recurrence occurred in 27 patients (10.19%) in the successful RP group during the mean follow-up period of 15.22 months. Multivariate analysis showed that the risk factors for PSA persistence were large prostate volume (hazard ratio [HR], 1.017; 95% confidence interval [CI], 1.002-1.036; p=0.046), lymphovascular invasion (LVI) (HR, 2.605; 95% CI, 1.022-6.643; p=0.045), and surgical margin involvement (HR, 2.220; 95% CI, 1.110-4.438; p=0.024). Conclusion: Adjuvant treatment may be needed for improved prognosis in patients with pT3aN0 PCa after RALP with a large prostate size, LVI, or surgical margin involvement.

Novel cystography parameter to predict early recovery from urinary continence after radical prostatectomy for prostate cancer: a retrospective study

  • Yeong Uk Kim
    • Journal of Yeungnam Medical Science
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    • 제40권3호
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    • pp.252-258
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    • 2023
  • Background: The purpose of this study was to investigate whether postoperative cystography findings can predict early and longterm recovery from incontinence after radical prostatectomy (RP), compared with the other cystography parameters. Methods: I retrospectively reviewed 118 patients who underwent robot-assisted RP (RARP) for localized prostate cancer at single institution between January 2016 and April 2021. One hundred and seven patients were included in the study. Postoperative cystography was routinely performed 7 days after surgery. The bladder neck to pubic symphysis ratio, vesicourethral angle, and bladder neck anteroposterior length (BNAP) ratio (the bladder neck-posterior margin distances divided by the anteroposterior lengths) were evaluated. Continence was defined as cessation of pad use. The association between these variables and urinary incontinence was also analyzed. Results: The urinary incontinence recovery rates 1, 3, 6, and 12 months after RARP were 43.92%, 66.35%, 87.85%, and 97.19%, respectively. Multivariate logistic regression analysis demonstrated that a lower BNAP ratio and wider vesicourethral angle were significantly associated with continence restoration at 1, 3, and 6 months after surgery. In addition, in terms of days of pad usage, lower BNAP ratio, wider vesicourethral angle, and bladder neck preservation were significantly associated with recovery from urinary incontinence within 12 months as assessed by Cox proportional hazard analysis. Conclusion: This study demonstrated that vesicourethral angle and BNAP ratio were independent predictors of early recovery from post-prostatectomy incontinence. I suggest that both the sagittal and coronal views of postoperative cystography help anticipate early continence restoration after RARP.

로봇팔을 지닌 물류용 자율주행 전기차 플랫폼 개발 (Development of Autonomous Driving Electric Vehicle for Logistics with a Robotic Arm)

  • 정의정;박성호;전광우;신현석;최윤용
    • 로봇학회논문지
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    • 제18권1호
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    • pp.93-98
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    • 2023
  • In this paper, the development of an autonomous electric vehicle for logistics with a robotic arm is introduced. The manual driving electric vehicle was converted into an electric vehicle platform capable of autonomous driving. For autonomous driving, an encoder is installed on the driving wheels, and an electronic power steering system is applied for automatic steering. The electric vehicle is equipped with a lidar sensor, a depth camera, and an ultrasonic sensor to recognize the surrounding environment, create a map, and recognize the vehicle location. The odometry was calculated using the bicycle motion model, and the map was created using the SLAM algorithm. To estimate the location of the platform based on the generated map, AMCL algorithm using Lidar was applied. A user interface was developed to create and modify a waypoint in order to move a predetermined place according to the logistics process. An A-star-based global path was generated to move to the destination, and a DWA-based local path was generated to trace the global path. The autonomous electric vehicle developed in this paper was tested and its utility was verified in a warehouse.

타당성 평가가 보완된 모델 운용상의 전투실험 모의분석 절차 연구 (A Study on the Method of Constructive Simulation Operation Analysis for Warfighting Experiment Supplied with the Validation Evaluation)

  • 박진우;김능진;강성진;서혁
    • 한국시뮬레이션학회논문지
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    • 제19권4호
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    • pp.77-87
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    • 2010
  • 현대는 산업사회에서 정보화 사회로 변화되고 있다. 이에 따라 전쟁 양상도 정보전, 네트워크 중심전, 장거리 정밀전, 로봇전으로 발전되어 고도의 첨단 과학군으로 변화를 시도하고 있다. 이러한 전투발전을 위한 전력창출을 위해 중요시 되고 있는 것이 전투실험이다. 전투실험은 LVC를 통한 입체적인 평가체계를 사용하는 것이 바람직하나, 비용 시간 장소 자원의 제한으로 M&S(Modeling & Simulation)를 통한 모의분석을 주로 활용한다. 하지만 모델 개발을 위한 평가절차에 대한 연구는 많이 이루어지고 있지만, 전투실험에 대한 모델운용상의 모의분석절차의 정립이 미흡하다. 본 연구에서는 전투실험간 모델운용의 타당성 평가체계(VV&A : Verification Validation & Accreditation)가 보완된 모의분석 방법과 절차를 정립하였고, "미래향토사단 군수부대편성의 적절성 평가"를 위해 지상무기효과분석모델(AWAM : Army Weapon Analysis Model)을 통한 후방 지역작전 모의분석 사례를 제시하였다. 본 연구는 신뢰성있는 평가체계를 바탕을 둔 효과적인 모의분석방법을 제시하여 전투실험을 위해 크게 기여할 것으로 판단된다.