Abstract
Field-control-based nanorobotic manipulation of ions at the single atomic level is an enabling technique for such applications as in-situ prototyping and characterization for fundamental research and rapid product development of nanoscale and quantum devices such as sensors, batteries, neuromorphic devices, and neuro/brain interfaces. Taking the motion of quantum dots (QDs) manipulated by an electrostatic field steered by a probe tip on a target surface as an example, here we show a deep-learning-based approach for their global motion tracking via the individual atoms both on the surface and inside the body. Transmission electron graphs, element analysis, and crystal topology acquired from an aberration-corrected transmission electron microscope (Cs-TEM) are used to identify the positions, types, and structures of the atoms to understand their kinematics. The results show the feasibility of multi-target tracking of homogeneous atoms by their spatial structure projection, which is very encouraging for further extension to the tracking and regulation of crystalline grains, swarms of ions, ion filaments, and single ions. © 2023 IEEE.
Original language | English |
---|---|
Title of host publication | 2023 IEEE International Conference on Robotics and Automation (ICRA) |
Publisher | IEEE |
Pages | 5439-5444 |
ISBN (Electronic) | 979-8-3503-2365-8 |
DOIs | |
Publication status | Published - 2023 |
Event | 40th IEEE International Conference on Robotics and Automation (ICRA 2023) - ExCeL London, London, United Kingdom Duration: 29 May 2023 → 2 Jun 2023 https://www.icra2023.org/ |
Publication series
Name | Proceedings - IEEE International Conference on Robotics and Automation |
---|---|
Volume | 2023-May |
ISSN (Print) | 1050-4729 |
Conference
Conference | 40th IEEE International Conference on Robotics and Automation (ICRA 2023) |
---|---|
Abbreviated title | ICRA2023 |
Country/Territory | United Kingdom |
City | London |
Period | 29/05/23 → 2/06/23 |
Internet address |