• Title/Summary/Keyword: Robotics Engineering

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Construction Automation and Robotics: Innovative Challenges and Opportunities

  • Junbok Lee
    • International Journal of High-Rise Buildings
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    • v.12 no.4
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    • pp.343-350
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    • 2023
  • With the advent of the recent Fourth Industrial Revolution, efforts are vigorously underway to comprehend the new paradigm of Construction 4.0, following in the footsteps of Industry 4.0, and to establish novel production systems. The necessity and significance of technological advancements in the field of construction automation and robotics, a pivotal component for Construction 4.0, are being emphasized. This paper aims to discuss the concept of construction automation and robotics, encompassing its past, present, and future prospects. Particularly, it reviews the six relevant papers featured in the June 2022 special issue of IJHRB, along with discussions on the integration of cutting-edge ICT technologies and R&D in the realm of automation and robotics. With the progression of ICT technology, the domain of construction automation and robotics is anticipated to play a substantial role in the realization of Construction 4.0 and smart construction through more dynamic convergence in technological development.

Development of Autonomous Steering Platforms for Upland Furrow (노지 밭고랑 환경 적용을 위한 자율조향 플랫폼 개발)

  • Cho, Yongjun;Yun, Haeyong;Hong, Hyunggil;Oh, Jangseok;Park, Hui Chang;Kang, Minsu;Park, Kwanhyung;Seo, Kabho;Kim, Sunduck;Lee, Youngtae
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.20 no.9
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    • pp.70-75
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    • 2021
  • We developed a platform that was capable of autonomous steering in a furrow environment. It was developed to autonomously control steering by recognizing the furrow using a laser distance, three-axis tilt, and temperature sensor. The performance evaluation indicated that the autonomous steering success rate was 99.17%, and it was possible to climb up to 5° on the slope. The usage time was approximately 40 h, and the maximum speed was 6.7 km/h.

A Study on Furrow Autonomous Steering using Furrow Recognition Sensor Module (고랑인식 센서 모듈을 이용한 밭고랑 자율조향에 대한 연구)

  • Cho, Yongjun;Park, Kwanhyung;Yun, Haeyong;Hong, Hyunggil;Oh, Jangseok;Kang, Minsu;Jang, Sunho;Seo, Kabho;Lee, Youngtae
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.21 no.9
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    • pp.92-97
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    • 2022
  • In this paper, as a research on autonomous steering for agriculture, a sensor module for furrow recognition was developed through a low-cost distance sensor combination. The developed sensor module was applied to the vehicle, and when driving in a furrow curve, the autonomous steering success rate was 100% at a curvature of 20 m or more, and 70% at a curvature of 15 m or less. The self-steering success rate according to the ground condition showed a 100% success rate regardless of soil, weeds, or mulching film.

Hybrid Path Planning of Multi-Robots for Path Deviation Prevention (군집로봇의 경로이탈 방지를 위한 하이브리드 경로계획 기법)

  • Wee, Sung-Gil;Kim, Yoon-Gu;Choi, Jung-Won;Lee, Suk-Gyu
    • Journal of Institute of Control, Robotics and Systems
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    • v.19 no.5
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    • pp.416-422
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    • 2013
  • This paper suggests a hybrid path planning method of multi-robots, where a path deviation prevention for maintaining a specific formation is implemented by using repulsive function, $A^*$ algorithm and UKF (Unscented Kalman Filter). The repulsive function in potential field method is used to avoid collision among robots and obstacles. $A^*$ algorithm helps the robots to find optimal path. In addition, error estimation based on UKF guarantees small path deviation of each robot during navigation. The simulation results show that the swarm robots with designated formation successfully avoid obstacles and return to the assigned formation effectively.

Affine-Invariant Image normalization for Log-Polar Images using Momentums

  • Son, Young-Ho;You, Bum-Jae;Oh, Sang-Rok;Park, Gwi-Tae
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.1140-1145
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    • 2003
  • Image normalization is one of the important areas in pattern recognition. Also, log-polar images are useful in the sense that their image data size is reduced dramatically comparing with conventional images and it is possible to develop faster pattern recognition algorithms. Especially, the log-polar image is very similar with the structure of human eyes. However, there are almost no researches on pattern recognition using the log-polar images while a number of researches on visual tracking have been executed. We propose an image normalization technique of log-polar images using momentums applicable for affine-invariant pattern recognition. We handle basic distortions of an image including translation, rotation, scaling, and skew of a log-polar image. The algorithm is experimented in a PC-based real-time vision system successfully.

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Sensorless Force Control with Observer for Multi-functional Upper Limb Rehabilitation Robot (다기능 재활운동을 위한 힘 센서가 없는 상지 재활 로봇의 힘 제어)

  • Choi, Jung Hyun;Oh, Sehoon;An, Jinung
    • The Journal of Korea Robotics Society
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    • v.12 no.3
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    • pp.356-364
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    • 2017
  • This paper presents a force control based on the observer without taking any force or torque measurement from the robot which allows realizing more stable and robust human robot interaction for the developed multi-functional upper limb rehabilitation robot. The robot has four functional training modes which can be classified by the human robot interaction types: passive, active, assistive, and resistive mode. The proposed observer consists of internal disturbance observer and external force observer for distinctive performance evaluation. Since four training modes can be quantitatively identified as impedance variation, position-based impedance control with feedback and feedforward controller was applied to the assistive training mode. The results showed that the proposed sensorless observer estimated cleaner and more accurate force compared to the force sensor and the impedance controller embedded with the proposed observer completed the assistive training mode safely and properly.

Development of Experimental Mobile Robots for Robotics Engineering Education by Using LEGO MINDSTORM (이동로봇을 중심으로 LEGO MINDSTORM을 응용한 로봇공학 교육용 실습 로봇개발)

  • Park, June-Hyung;Jung, Seul
    • The Journal of Korea Robotics Society
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    • v.7 no.2
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    • pp.57-64
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    • 2012
  • This paper introduces several mobile robots developed by using LEGO MIDSTORM for experimental studies of robotics engineering education. The first mobile robot is the line tracer robot that tracks a line, which is a prototype of wheel-driven mobile robots. Ultra violet sensors are used to detect and follow the line. The second robot system is a two-wheel balancing robot that is somewhat nonlinear and complex. For the robot to balance, a gyro sensor is used to detect a balancing angle and PD control is used. The last robot system is a combined system of a line tracer and a two-wheel balancing robot. Sensor filtering and control algorithms are tested through experimental studies.