| dc.contributor.author | Yu, Jingjin | |
| dc.contributor.author | Han, Shuai D. | |
| dc.contributor.author | Tang, Wei N. | |
| dc.contributor.author | Rus, Daniela L | |
| dc.date.accessioned | 2022-01-03T14:34:29Z | |
| dc.date.available | 2021-11-03T14:59:27Z | |
| dc.date.available | 2022-01-03T14:34:29Z | |
| dc.date.issued | 2017-05 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/137217.2 | |
| dc.description.abstract | © 2017 IEEE. microMVP is an affordable, portable, and open source micro-scale mobile robot platform designed for robotics research and education. As a complete and unique multi-vehicle platform enabled by 3D printing and the maker culture, microMVP can be easily reproduced and requires little maintenance: a set of six micro vehicles, each measuring 8 × 5 × 6 cubic centimeters and weighing under 100 grams, and the accompanying tracking platform can be fully assembled in under two hours, all from readily available components. In this paper, we describe microMVP's hardware and software architecture, and the design thoughts that go into the making of the platform. The capabilities of microMVP APIs are then demonstrated with several single- and multi-robot path and motion planning algorithms. microMVP supports all common operation systems. | en_US |
| dc.description.sponsorship | NSF (Grant 1617744) | en_US |
| dc.language.iso | en | |
| dc.publisher | IEEE | en_US |
| dc.relation.isversionof | 10.1109/icra.2017.7989176 | en_US |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
| dc.source | arXiv | en_US |
| dc.title | A portable, 3D-printing enabled multi-vehicle platform for robotics research and education | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Yu, Jingjin, Han, Shuai D., Tang, Wei N. and Rus, Daniela. 2017. "A portable, 3D-printing enabled multi-vehicle platform for robotics research and education." | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | en_US |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.date.updated | 2019-07-17T13:24:44Z | |
| dspace.date.submission | 2019-07-17T13:24:48Z | |
| mit.license | OPEN_ACCESS_POLICY | |
| mit.metadata.status | Publication Information Needed | en_US |
