DocumentCode :
2777837
Title :
Three-dimensional obstacle avoidance online path-planning method for autonomous mobile overhead crane
Author :
Nagai, Shunsuke ; Kaneshige, Akihiro ; Ueki, Satoshi
Author_Institution :
Dept. of Mech. Eng., Toyota Nat. Coll. of Technol., Toyota, Japan
fYear :
2011
fDate :
7-10 Aug. 2011
Firstpage :
1497
Lastpage :
1502
Abstract :
This paper presents a method for establishing a three-dimensional (3-D) autonomous mobile overhead crane system that takes into account obstacle recognition and path planning online. It is especially necessary for the online 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 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 online 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. Online path planning has been achieved using information regarding obstacles around the object being manipulated, as obtained by ultrasonic sensor. Finally, we have confirmed the usefulness of the proposed method by simulation.
Keywords :
collision avoidance; cranes; mobile robots; robot vision; sensors; autonomous mobile overhead crane; control system; obstacle recognition; online path planning; three-dimensional obstacle avoidance; transportation environment; ultrasonic sensors; visual system; Acoustics; Cranes; Path planning; Planning; Robots; Sensors; Visual system; Flexible Manufacturing System; Materials Handling Equipment; Moving Robot; Online Path-Planning; Overhead Crane;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation (ICMA), 2011 International Conference on
Conference_Location :
Beijing
ISSN :
2152-7431
Print_ISBN :
978-1-4244-8113-2
Type :
conf
DOI :
10.1109/ICMA.2011.5985971
Filename :
5985971
Link To Document :
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