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pro vyhledávání: '"Robert Dyro"'
As robotic systems move from highly structured environments to open worlds, incorporating uncertainty from dynamics learning or state estimation into the control pipeline is essential for robust performance. In this paper we present a nonlinear parti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54eae93e0f6bfb1d698f01aea913c182
http://arxiv.org/abs/2104.02213
http://arxiv.org/abs/2104.02213
Autor:
Cai Chen, Justin Sablik, Robert Dyro, Rob N. Candler, Shalin Mehta, Greg P. Carman, Reem Khojah, John Domann, Abdon E. Sepulveda, Jin-Zhao Hu, Zhuyun Xiao
Publikováno v:
Journal of Physics D: Applied Physics. 53:174002
Precise control and manipulation of nano-beads have various applications, e.g. cell sorter, 3D printing and nano-motors. In this paper we present an approach in which we use voltage on a piezolecetric substrate in order to reorient the magnetization