Molecular swarm robots: recent progress and future challenges. Issue 1 (31st January 2020)

• Record Type: Journal Article
• Authors: Kabir, Arif Md. Rashedul; Inoue, Daisuke; Kakugo, Akira
• Is Part Of: Science and technology of advanced materials. Volume 21:Issue 1(2020)
• Page Start: 323
• Page End: 332
• Publication Date: 2020-01-31
• Subjects: Molecular robot -- molecular engine -- swarming -- biomolecular motor -- synthetic motor -- DNA -- sensor -- actuator -- processor -- photoresponsive molecules; 101 Self-assembly / Self-organized materials -- 208 Sensors and actuators; Materials -- Technological innovations -- Periodicals; 620.112
• DOI: 10.1080/14686996.2020.1761761
• Languages: English
• ISSNs: 1468-6996

Abstract

ABSTRACT: Recent advancements in molecular robotics have been greatly contributed by the progress in various fields of science and technology, particularly in supramolecular chemistry, bio- and nanotechnology, and informatics. Yet one of the biggest challenges in molecular robotics has been controlling a large number of robots at a time and employing the robots for any specific task as flocks in order to harness emergent functions. Swarming of molecular robots has emerged as a new paradigm with potentials to overcome this hurdle in molecular robotics. In this review article, we comprehensively discuss the latest developments in swarm molecular robotics, particularly emphasizing the effective utilization of bio- and nanotechnology in swarming of molecular robots. Importance of tuning the mutual interaction among the molecular robots in regulation of their swarming is introduced. Successful utilization of DNA, photoresponsive molecules, and natural molecular machines in swarming of molecular robots to provide them with processing, sensing, and actuating ability is highlighted. The potentials of molecular swarm robots for practical applications by means of their ability to participate in logical operations and molecular computations are also discussed. Prospects of the molecular swarm robots in utilizing the emergent functions through swarming are also emphasized together with their future perspectives. GRAPHICAL ABSTRACT: uf0001