DocumentCode
580894
Title
An algorithm for on-line path planning of autonomous mobile overhead traveling crane based on obstacle information
Author
Kaneshige, Akihiro ; Nagai, Shunsuke ; Ueki, Satoshi ; Miyoshi, Takanori ; Terashima, Kazuhiko
Author_Institution
Mech. Eng. Dept., Toyota Nat. Coll. of Technol., Toyota, Japan
fYear
2012
fDate
20-24 Aug. 2012
Firstpage
914
Lastpage
919
Abstract
This paper presents a method for establishing a three-dimensional (3-D) autonomous mobile overhead crane system that takes into account obstacle avoidance and path planning real-time. It is especially necessary for the real-time path planning occurring during transferring to be carried out relatively quickly. This paper describes a method of path planning that can be carried out in a short time with an easy algorithm. This target crane system has three different parts: a visual system, a planning system, and a control system. In the visual system, ultrasonic sensors are used to renovate a partial environmental map during transferring with the quick scanning time. In the planning system, a proposed on-line path-planning method based on the expanded path-planning method of Srinivas allows for changes such as a change in the transportation environment to be made during the transferring. On-line path planning has been achieved using information regarding obstacles around the object being manipulated, as obtained by ultrasonic sensor. Finally, we have deduced the optimal parameter to transfer environment in consideration of transfer time and transfer cost.
Keywords
collision avoidance; cranes; mobile robots; 3D autonomous mobile overhead crane system; autonomous mobile overhead traveling crane; control system; obstacle avoidance; obstacle information; online path planning method; partial environmental map; quick scanning time; real time path planning system; transfer cost; transfer environment; transfer time; transportation environment; ultrasonic sensors; visual system; Acoustics; Cranes; Path planning; Planning; Real-time systems; Sensors; Visual systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation Science and Engineering (CASE), 2012 IEEE International Conference on
Conference_Location
Seoul
ISSN
2161-8070
Print_ISBN
978-1-4673-0429-0
Type
conf
DOI
10.1109/CoASE.2012.6386356
Filename
6386356
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