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Molecular swarm robots: recent progress and future challenges.

Arif Md Rashedul Kabir¹, Daisuke Inoue², Akira Kakugo^1,3

¹Faculty of Science, Hokkaido University, Sapporo, Japan.

Science and Technology of Advanced Materials

|September 17, 2020

Summary

This summary is machine-generated.

Swarm molecular robotics leverages bio- and nanotechnology for coordinated control. This approach enables molecular robots to perform complex tasks and computations, unlocking emergent functions for practical applications.

Keywords:

101 Self-assembly / Self-organized materials 208 Sensors and actuators DNA Molecular robot actuator biomolecular motor molecular engine photoresponsive molecules processor sensor swarming synthetic motor

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Area of Science:

Molecular Robotics
Supramolecular Chemistry
Bio- and Nanotechnology
Informatics

Background:

Molecular robotics faces challenges in controlling large numbers of robots for complex tasks.
Swarming presents a novel paradigm to overcome limitations in collective molecular robot control.
Advancements in supramolecular chemistry, bio-, and nanotechnology drive progress in the field.

Purpose of the Study:

To review recent developments in swarm molecular robotics.
To emphasize the role of bio- and nanotechnology in enabling molecular robot swarming.
To discuss the potential of molecular swarm robots for logical operations and computations.

Main Methods:

Comprehensive review of literature on swarm molecular robotics.
Emphasis on the utilization of DNA, photoresponsive molecules, and natural molecular machines.
Discussion of tuning inter-robot interactions for swarm regulation.

Main Results:

Bio- and nanotechnology are crucial for effective swarming of molecular robots.
DNA, photoresponsive molecules, and natural machines provide robots with processing, sensing, and actuating abilities.
Tuning mutual interactions is key to regulating swarm behavior.

Conclusions:

Swarm molecular robotics offers a promising approach to harness emergent functions.
Molecular swarm robots have significant potential for logical operations and molecular computations.
Future perspectives involve further exploration of emergent functions and practical applications.