Biomolecular Motor-Based Swarm Robot: An Innovation in Molecular Delivery-Reference-Cited by-同舟云学术

Biomolecular Motor-Based Swarm Robot: An Innovation in Molecular Delivery

Published:2023-08-20 Issue:4 Volume:35 Page:1047-1051
ISSN:1883-8049
Container-title:Journal of Robotics and Mechatronics
language:en
Short-container-title:J. Robot. Mechatron.

Author:

Akter Mousumi¹^ORCID,Kakugo Akira²^ORCID

Affiliation:

1. Institute of Molecular Biology, University of Oregon, 1229 University of Oregon, 1318 Franklin Blvd, Eugene 97403, USA

2. Department of Physics, Graduate School of Science, Kyoto University, Kitashirakawa Oiwake-cho, Sakyo-ku, Kyoto 606-8502, Japan

Abstract

Biomolecular motor-based micro-sized robots have recently created an innovation in the field of science and technology as molecular transporters. Groups of these tiny robots can work substantially better than individual ones in terms of the transported distance and number or size of cargo. Site-specific molecular delivery, the main feature of these robots, has helped to improve the workability of robots in a more controllable manner.

Funder

New Energy and Industrial Technology Development Organization

Japan Society for the Promotion of Science

Publisher

Fuji Technology Press Ltd.

Subject

Electrical and Electronic Engineering,General Computer Science

Reference25 articles.

1. S. Bahar, “Flocking, Swarming, and Communicating,” in “The Essential Tension,” The Frontiers Collection, Springer, Dordrecht, pp. 127-152, 2018. https://doi.org/10.1007/978-94-024-1054-9_8

2. M. Rubenstein, A. Cornejo, and R. Nagpal, “Programmable self-assembly in a thousand-robot swarm,” Science, Vol.345, pp. 795-799, 2014. https://doi.org/10.1126/science.1254295

3. R. Vicerra, E. Dadios, A. Bandala, and L. Lim, “Swarm Robot System for Underwater Communication Network,” J. Adv. Comput. Intell. Intell. Inform., Vol.18, No.5, pp. 769-775, 2014. https://doi.org/10.20965/jaciii.2014.p0769

4. M. Schranz, M. Umlauft, M. Sende, and W. Elmenreich, “Swarm Robotic Behaviors and Current Applications,” Front. Robot. AI, Vol.7, Article No.36, 2020. https://doi.org/10.3389/frobt.2020.00036

5. J. Katuri, W. E. Uspal, M. N. Popescu, and S. Sánchez, “Inferring non-equilibrium interactions from tracer response near confined active Janus particles,” Sci. Adv., Vol.7, No.18, 2021. https://doi.org/10.1126/sciadv.abd0719

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Review of Interdisciplinary Approach to Swarm Intelligence;Journal of Robotics and Mechatronics;2023-08-20