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Method for Autonomous picking of paper reels
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab).
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab).
2011 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Autonomous forklift handling systems is one of the most interesting research in the last decades. While research fields such as path planning and map building are taking the most significant work for other type of autonomous vehicles, detecting objects that need to move and picking it up becomes one of the most important research fields in autonomous forklifts field.

We in this research had provided an algorithm for detecting paper reels accurate position in paper reels warehouses giving a map of the warehouse itself. Another algorithm is provided for giving the priority of papers that want to be picked up. Finally two algorithms for choosing the most appropriate direction for picking the target reel and for choosing the safest path to reach the target reel without damage it are provided.

While working on the last two algorithms shows very nice results, building map for unknown stake of papers by accumulating maps over time still tricky. In the following pages we will go in detail by the steps that we followed to provide these algorithms started from giving an over view to the problem background and moving through the method that we used or we developed and ending by result and the conclusion that we got from this work.

Place, publisher, year, edition, pages
2011. , 73 p.
Keyword [en]
Autonomous, Handling, sensory data, autonomous map building, selection priority, picking direction, picking availability
National Category
Robotics
Identifiers
URN: urn:nbn:se:hh:diva-16212Local ID: IDE1144OAI: oai:DiVA.org:hh-16212DiVA: diva2:440863
Subject / course
Computer science and engineering
Uppsok
Technology
Supervisors
Examiners
Available from: 2011-09-26 Created: 2011-09-13 Last updated: 2012-09-21Bibliographically approved

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