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Au, Tsz-Chiu
Agents & Robotic Transportation Lab (ART Lab)
Research Interests
  • Autonomous agents, automated planning, autonomous vehicles, machine learning,
  • intelligent transportation systems, game theory and its applications, reinforcement
  • learning, robotics, trading agents and electronic markets

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Automatic Configuration of Mobile Conveyor Lines

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dc.contributor.author Lee, Dohee ko
dc.contributor.author Au, Tsz-Chiu ko
dc.date.available 2020-06-24T01:55:37Z -
dc.date.created 2016-01-15 ko
dc.date.issued 2016-05-16 ko
dc.identifier.citation IEEE International Conference on Robotics and Automation ko
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/32802 -
dc.description.abstract A conveyor belt is an efficient mode of transportation and has been widely utilized to move large quantities of objects in assembly lines, airports, etc. We propose a new conveyor system called mobile conveyor lines that can autonomously configure itself to move objects to a given destination. This system is suitable for situations such as disaster areas in which it is difficult to set up a conveyor line manually. We analyze the reachability of a group of mobile conveyor belts and propose an algorithm to check the reachability of a given destination, as well as a method to generate a configuration to guide conveyor belts to connect themselves to reach the destination. Our experimental results show that our algorithms, together with a heuristic that biases the search towards the destination, can quickly generate configurations of conveyor belts for problems that require less than 20 conveyor belts. ko
dc.language 영어 ko
dc.publisher IEEE ko
dc.title Automatic Configuration of Mobile Conveyor Lines ko
dc.type CONFERENCE ko
dc.identifier.scopusid 2-s2.0-84977553042 ko
dc.type.rims CONF ko
dc.identifier.doi 10.1109/ICRA.2016.7487572 ko
dc.identifier.url http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7487572 ko
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