| dc.contributor.author | Gruenstein, Joshua | |
| dc.contributor.author | Chen, Tao | |
| dc.contributor.author | Doshi, Neel | |
| dc.contributor.author | Agrawal, Pulkit | |
| dc.date.accessioned | 2022-05-24T19:29:01Z | |
| dc.date.available | 2022-05-24T19:29:01Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/142714 | |
| dc.language.iso | en | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.relation.isversionof | 10.1109/ICRA48506.2021.9560862 | en_US |
| dc.rights | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International | en_US |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
| dc.source | arXiv | en_US |
| dc.title | Residual Model Learning for Microrobot Control | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Gruenstein, Joshua, Chen, Tao, Doshi, Neel and Agrawal, Pulkit. 2021. "Residual Model Learning for Microrobot Control." 2021 IEEE International Conference on Robotics and Automation (ICRA). | |
| dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Mechanical Engineering | |
| dc.relation.journal | 2021 IEEE International Conference on Robotics and Automation (ICRA) | 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 | 2022-05-24T19:12:55Z | |
| dspace.orderedauthors | Gruenstein, J; Chen, T; Doshi, N; Agrawal, P | en_US |
| dspace.date.submission | 2022-05-24T19:12:59Z | |
| mit.license | OPEN_ACCESS_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
