An algorithm for on-line path planning of autonomous mobile overhead traveling crane based on obstacle information

Kaneshige, Akihiro; Nagai, Shunsuke; Ueki, Satoshi; Miyoshi, Takanori; Terashima, Kazuhiko

doi:10.1109/coase.2012.6386356

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…The second method [13][14][15][16] -mapping of the environment is done by applying the histogram grid method. The point of this method is that the environment, in which the robot moves along the randomly selected path with the help of the acoustic rangefinders, is divided into square elements, referred to as squares.…”

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confidence: 99%

Mobile robot movement planning and control intelligent system in unknown environment

Nemeiksis

Osadčuks

2018

Engineering for Rural Development

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Abstract. Robot engineering and related technologies have been rapidly developing during the last decades providing more and more opportunities for using robots in various fields of human activity. In the first place, this is due to continuous improvement of the characteristics of robot engines, energy resources, on-board system calculation tools, and, most importantly, development of sensory tools. This not only improves the management of the robot movement, but also allows for developing custom control systems of advanced levels. At the beginning of this century, the most rapid development in the field of mobile robots was observed in autonomous mobile robots that function in an unknown environment, which constitute the research object of this article. Therefore, the purpose of this article is to prepare the intelligent systems development methods for mobile robot motion planning, which ensure that the robot performs a planned and adjusted during the movement safe trajectory in an environment with unfamiliar obstacles. In order to achieve this purpose, a theoretical research of the mechatronic mobile robot's movement in an unknown environment was carried out, based on which the corresponding results of the research have been obtained, i.e. the theoretical operative control systems for mobile robot's movement in an unknown environment have been tested in real practical situation by designing a theoretical scheme for this research that consists of a laboratory model of a bi-cycle mobile robot and a special algorithm for its operative control. The results of the research evaluate the effectiveness of such mobile robot operation, also they show the progress and resutls of the theoretical experiment in unknown environment with certain obstacles set out in random places on the mobile robot path, as well as they identify the main factors how to improve the experimental research base.

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Section: Fig 3 Localization Graph Examplementioning

confidence: 99%

Mobile robot movement planning and control intelligent system in unknown environment

Nemeiksis

Osadčuks

2018

Engineering for Rural Development

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“…Además, se han desarrollado sistemas de evitación de obstáculos que se realimentan en tiempo real utilizando sistemas de visión [16] y de ultrasonidos [17]. Así, en [18] se definió la distancia mínima segura entre la carga y cualquier objeto, que toma en consideración factores importantes como las oscilaciones de la carga y su velocidad de desplazamiento.…”

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Bridge Crane Monitoring using a 3D LiDAR and Deep Learning

García

Martínez

Reina

2023

IEEE Latin Am. Trans.

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The use of overhead cranes in warehouses and factories has advantages for handling and transporting bulky and/or heavy loads. But it also involves risks such as collisions with other fixed or mobile elements in the working environment. Different types of sensors have been used for monitoring its operation, mainly artificial vision. In this paper, it is employed a three-dimensional (3D) LiDAR to capture the workspace of a bridge crane. The point clouds generated by this laser sensor are delivered to a convolutional neural network to detect the position of the bridge and its carriage, which allows to locate the hook and the suspended load afterwards. Additionally, the laser scans can also be used to warn the operator of possible collisions with fixed elements of the warehouse. The tests carried out show that the proposed system can be successfully used for monitoring overhead cranes.

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Path planning method for dual cranes considering the changes of load ratio

Lusha

Xiong

et al. 2015

2015 34th Chinese Control Conference (CCC)

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An algorithm for on-line path planning of autonomous mobile overhead traveling crane based on obstacle information

Cited by 4 publications

References 7 publications

Mobile robot movement planning and control intelligent system in unknown environment

Mobile robot movement planning and control intelligent system in unknown environment

Bridge Crane Monitoring using a 3D LiDAR and Deep Learning

Path planning method for dual cranes considering the changes of load ratio

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