Coordinating Construction of Truss Structures using Distributed Equal-mass Partitioning

This paper presents a decentralized algorithm for the coordinated assembly of 3D objects that consist of multiple types of parts, using a networked team of robots.We describe the algorithm and analyze its stability and adaptation properties. We instantiate the algorithm to building truss-like object...

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Bibliographic Details
Main Authors: Yun, Seungkook (Contributor), Schwager, Mac (Contributor), Rus, Daniela L. (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Institute of Robotics and Intelligent Systems, 2011-05-04T20:18:18Z.
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Online Access:Get fulltext
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100 1 0 |a Yun, Seungkook  |e author 
100 1 0 |a Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory  |e contributor 
100 1 0 |a Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science  |e contributor 
100 1 0 |a Rus, Daniela L.  |e contributor 
100 1 0 |a Yun, Seungkook  |e contributor 
100 1 0 |a Schwager, Mac  |e contributor 
100 1 0 |a Rus, Daniela L.  |e contributor 
700 1 0 |a Schwager, Mac  |e author 
700 1 0 |a Rus, Daniela L.  |e author 
245 0 0 |a Coordinating Construction of Truss Structures using Distributed Equal-mass Partitioning 
260 |b Institute of Robotics and Intelligent Systems,   |c 2011-05-04T20:18:18Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/62587 
520 |a This paper presents a decentralized algorithm for the coordinated assembly of 3D objects that consist of multiple types of parts, using a networked team of robots.We describe the algorithm and analyze its stability and adaptation properties. We instantiate the algorithm to building truss-like objects using rods and connectors. We implement the algorithm in simulation and show results for constructing 2D and 3D parts. Finally, we discuss briefly preliminary hardware results. 
520 |a Boeing Company 
520 |a National Science Foundation (U.S.) (Grant IIS-0513755) (Grant IIS-0426838) (Grant CNS-0520305) (Grant CNS-0707601) 
520 |a Micro AutonomousConsortium Systems and Technology 
520 |a United States. Army Research Office. Multidisciplinary University Research Initiative. Scalable Swarms of Autonomous Robots and Mobile Sensors Project (Grant W911NF-05-1-0219) 
520 |a National Science Foundation (U.S.). Office of Emerging Frontiers in Research and Innovation 
520 |a Samsung Scholarship Foundation 
546 |a en_US 
655 7 |a Article 
773 |t International Symposium on Robotics Research (ISRR 2009)