Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Gaurav Gardi"'
Autor:
Nima Mahkam, Amirreza Aghakhani, Devin Sheehan, Gaurav Gardi, Robert Katzschmann, Metin Sitti
Publikováno v:
Advanced Science, Vol 10, Iss 35, Pp n/a-n/a (2023)
Abstract Acoustically‐driven bubbles at the micron scale can generate strong microstreaming flows in its surrounding fluidic medium. The tunable acoustic streaming strength of oscillating microbubbles and the diversity of the generated flow pattern
Externí odkaz:
https://doaj.org/article/8bcbebe2ca3d478b873b3072a15b13d4
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022)
Reconfigurability at the micro-scale is rare. Here, authors present a versatile magnetic microrobot collective that reconfigures on-demand among miscellaneous behaviors that allow for exploration, navigation, and interaction with diverse environments
Externí odkaz:
https://doaj.org/article/2b20b5707a32455faff51704b50a5424
Autor:
Yulei Fu, Zongyuan Wu, Sirui Zhan, Jiacheng Yang, Gaurav Gardi, Vimal Kishore, Paolo Malgaretti, Wendong Wang
Publikováno v:
Micromachines, Vol 14, Iss 8, p 1503 (2023)
Collective systems self-organize to form globally ordered spatiotemporal patterns. Finding appropriate measures to characterize the order in these patterns will contribute to our understanding of the principles of self-organization in all collective
Externí odkaz:
https://doaj.org/article/ee8c6298c78a465c9509bb8bdefc9155
Autor:
Franco N. Pinan Basualdo, Gaurav Gardi, Wendong Wang, Sinan O. Demir, Aude Bolopion, Michael Gauthier, Pierre Lambert, Metin Sitti
Publikováno v:
IEEE Robotics and Automation Letters
Traditional robotic systems have proven to be instrumental in object manipulation tasks for automated manufacturing processes. Object manipulation in such cases typically involves transport, pick-and-place and assembly of objects using automated conv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccba42fa1e649cfa34e9e1003c519468
https://hdl.handle.net/21.11116/0000-000A-92C5-2
https://hdl.handle.net/21.11116/0000-000A-92C5-2
Publikováno v:
IPIN
Reliable localization is one of the most important parts of an MAV system. Localization in an indoor GPS-denied environment is a relatively difficult problem. Current vision based algorithms track optical features to calculate odometry. We present a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c2b0ee415dc9ebc9a9c27266863c823
http://arxiv.org/abs/1709.04931
http://arxiv.org/abs/1709.04931