1P1-I09 Development of the Autonomous Mobile Crane System : Development of Online Obstacle Recognition Path Planning System(Manufacturing System and Manufacturing Machinery Mechatronics)

2012 ◽  
Vol 2012 (0) ◽  
pp. _1P1-I09_1-_1P1-I09_4
Author(s):  
Akihiro KANESHIGE ◽  
Shunsuke NAGAI ◽  
Satoshi UEKI ◽  
Takanori MIYOSHI ◽  
Kazuhiko TERASHIMA
2016 ◽  
Vol 43 (6) ◽  
pp. 542-552 ◽  
Author(s):  
Weijun Ren ◽  
Zifeng Wu ◽  
Lei Zhang

Ensuring the safety and efficiency of crane operation is challenging due to the complexity of the lifting operation. The real-time lifting path planning system developed in this paper aims to provide an optimized, collision-free lifting path for mobile crane operators. The first contribution of the developed system is to take advantage of crane mounted sensors and components as the hardware to collect object information. No additional device needs to be purchased. Secondly, the data storage, path planning, optimizing, and visualizing functions are designed to minimize the required computer memory so that the system can be installed and applied on the crane mounted controller for real-time operation. No additional calculation capacity is required. This system has been tested in real construction sites and demonstrated its ability to generate lifting paths satisfying operators’ expectation. The system, as an independent software package, can be installed on any mobile cranes mounted with the necessary hardware.


2008 ◽  
Vol 2 (2) ◽  
pp. 131-140 ◽  
Author(s):  
Akihiro Kaneshige ◽  
◽  
Shigeo Hasegawa ◽  
Kazuhiko Terashima ◽  

The purpose of this paper is to present a method to establish an autonomous mobile crane system which includes on-line obstacle recognition, path planning by on-line and suppression of sway of the transferred object. The system consists of three different parts: a visual system, a planning system and a control system. In the visual system, ultra sonic sensor is used to renew small part of environmental map during the transferring taking advantage of quick scanning time. In the planning system, proposed on-line path planning method is used in an artificial potential field based on the solution of the Laplacian differential equation. This path planning method can correspond to minor changes in the transportation environment during transportation. The on-line path planning has been accomplished by regenerating the updated potential field. In the control system, feed-forward controller by means of notch filter is used to achieve the suppression of sway of the transferred object. Finally, the usefulness of the proposed method is confirmed by simulations and experiments.


Author(s):  
Budi Yulianto ◽  
Rita Layona

The case of lost or missing children when people go traveling or in the hustle often occurs due to lack of parental supervision. These problems can be solved using Global Position System (GPS)-based navigation technology Location Based Service (LBS). This research aimed to determine the position of members of the community (such as family) who were lost or missing by using mobile devices. Rapid Application Development (RAD) was used for system development, which comprised the step of requirement or planning, system design, development, and cutover. The result of this research is a GPS-based application that is able to display the position of members of the community, the route to the location, and the media discussion (comments). The conclusions show that the application provides an easy and useful function in finding the location of the community member, displays the route to the location, and allows the interaction in the form of communication.


Author(s):  
DongSeop Lee ◽  
Jacques Periaux ◽  
Luis Felipe Gonzalez

This paper presents the application of advanced optimization techniques to Unmanned Aerial Systems (UAS) Mission Path Planning System (MPPS) using Multi-Objective Evolutionary Algorithms (MOEAs). Two types of multi-objective optimizers are compared; the MOEA Non-dominated Sorting Genetic Algorithms II (NSGA-II) and a Hybrid Game strategy are implemented to produce a set of optimal collision-free trajectories in three-dimensional environment. The resulting trajectories on a three-dimension terrain are collision-free and are represented by using Be´zier spline curves from start position to target and then target to start position or different position with altitude constraints. The efficiency of the two optimization methods is compared in terms of computational cost and design quality. Numerical results show the benefits of adding a Hybrid-Game strategy to a MOEA and for a MPPS.


2011 ◽  
Vol 486 ◽  
pp. 25-28
Author(s):  
Zhi Peng Li ◽  
Dong Sheng Li

A picking and steering adjustment system for blueberry harvesters has been developed. In this paper, the main hardware and working principles of the system is introduced first, then the application of an ant colony simplification algorithm in the system development is presented. Information of virtual modeling the blueberry plant images and fruit distributions is obtained through the control system which is used as input for the ant colony simplification algorithm calculation. Then results are translated into real-time travelling path planning instructions for the blueberry harvester. The research provided technological and new knowledge support for future investigations into intelligent travelling path selection, thus playing an important role in mechanization and intelligent harvesting processes for blueberry harvesters.


2021 ◽  
pp. 596-605
Author(s):  
Youge Su ◽  
Wanghui Bu ◽  
Jing Chen ◽  
Sihang Li ◽  
Mingzhi Liu

1998 ◽  
Vol 64 (618) ◽  
pp. 487-494 ◽  
Author(s):  
Akihiro KANESHIGE ◽  
Kazuhiko TERASHIMA ◽  
Makio SUZUKI ◽  
Rei YIN

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