Microbiorobotics, 1st Edition

Biologically Inspired Microscale Robotic Systems

Microbiorobotics, 1st Edition,Minjun Kim,Julius Agung,ISBN9781455778911

Kim   &   Agung   

William Andrew




235 X 191

World-class contributors investigate how challenges faced by robotics as it is taken to the micro-scale can be addressed by deploying techniques used by microorganisms, and by introducing biological elements to micro-engineering systems. The techniques described in this book will help engineers to unleash the massive potential of microrobotics in applications from injectable devices to perform eye surgery to new micro-manufacturing techniques

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Key Features

  • Microrobotics is an area that is acknowledged to have massive potential in applications from medicine to manufacturing. This book introduces an inter-disciplinary readership to the toolkit that micro-organisms offer to micro-engineering
  • The design of robots, sensors and actuators faces a range of techology challenges at the micro-scale. This book shows how biological techniques and materials can be used to meet these challenges
  • World-class multi-disciplanry editors and contributors leverage insights from engineering, mathematical modeling and the life sciences – creating a novel toolkit for microrobotics


Microbiorobotics is a new engineering discipline that inherently involves a multidisciplinary approach (mechanical engineering, cellular biology, mathematical modeling, control systems, synthetic biology, etc). Building robotics system in the micro scale is an engineering task that has resulted in many important applications, ranging from micromanufacturing techniques to cellular manipulation. However, it is also a very challenging engineering task. One of the reasons is because many engineering ideas and principles that are used in larger scales do not scale well to the micro-scale. For example, locomotion principles in a fluid do not function in the same way, and the use of rotational motors is impractical because of the difficulty of building of the required components.


MEMS (Micro Electro-Mechanical Systems) engineers, Mechanical, biomedical and electrical engineers in corporate R&D groups and academia; robotics professionals; graduate students in disciplines listed

Information about this author is currently not available.
Information about this author is currently not available.

Microbiorobotics, 1st Edition



About the Editors

PART 1. Introduction

Motivation for Microbiorobotics

Historical Overview

Low Reynolds number swimming

Taxis of microorganisms

Artificial bio-inspired microrobots

Biological microrobots


About this Book



PART 2. Fundamentals of Cellular Mechanics

Chapter 1. Fluid–Structure Interactions and Flagellar Actuation

1.1 Introduction

1.2 Hydrodynamics of slender filaments

1.3 Elastic forces in slender filaments

1.4 Swimming velocity of bacterium with helical flagellum

1.5 Fluid–structure interactions in bacterial flagella

1.6 Flagella in viscoelastic fluids

1.7 Fluid–structure interaction in eukaryotic flagella

1.8 Probing dynein coordination using models of spontaneous flagellar beating

Chapter 2. Mathematical Models for Individual Swimming Bacteria

2.1 Introduction

2.2 The biological, mathematical, and numerical background

2.3 A selective survey of recent progress in modeling applications

2.4 Future perspectives


Chapter 3. in Motion

3.1 Introduction

3.2 Tetrahymena as a model cell

3.3 Migratory responses in biology

3.4 Specific signaling pathways

3.5 Microbiorobotics in Tetrahymena

3.6 Migration-specific phenomena

3.7 Strategies in migration assays in Tetrahymena

3.8 Concluding remarks


PART 3. Theoretical Microbiorobotics

Chapter 4. Broadcast Control for a Large Array of Stochastically Controlled Piezoelectric Actuators

4.1 Introduction

4.2 Cellular control system inspired by biological muscles

4.3 Piezoelectric actuator cells with large strain amplification

4.4 Stochastic broadcast feedback

4.5 Fingerprint method for modeling and characterizing stochastic actuator arrays

4.6 Conclusion


Chapter 5. Stochastic Models and Control of Bacterial Bioactuators and Biomicrorobots

5.1 Stochasticity in the cellular behavior of bacteria

5.2 Mathematical models for stochastic cellular behavior

5.3 Stochasticity in the flagellated bacteria motility

5.4 Modeling and control of MicroBioRobots

5.5 Model for electrokinetic actuation

5.6 Concluding remarks


Chapter 6. Biological Cell Inspired Stochastic Models and Control

6.1 Introduction

6.2 Swarm robotics and models

6.3 Immune system cell motility

6.4 Hamiltonian approach to open-loop stochastic control

6.5 Summary

PART 4. Experimental Microbiorobotics

Chapter 7. Bacteria-Inspired Microrobots

7.1 Introduction

7.2 Fluid mechanics at low Reynolds numbers

7.3 Bacterial swimming

7.4 Actuation of artificial bacterial microrobots

7.5 Swimming behavior

7.6 Artificial bacterial microrobot in biomedical applications

Chapter 8. Magnetotactic Bacteria for Microrobotics

8.1 Introduction

8.2 MC-1 flagellated magnetotactic bacteria (MTB)

8.3 Magnetotactic bacteria as microrobots

8.4 Magnetotaxis versus aerotaxis control

8.5 Natural, bacterial, or MTB-based microrobots versus artificial bacteria-inspired microrobots

8.6 Applications in microassembly

8.7 Applications in medical interventions

8.8 Conclusions


Chapter 9. Flexible Magnetic Microswimmers

9.1 Introduction

9.2 Swimming at low Reynolds number

9.3 Flexible magnetic filaments

9.4 Colloidal swimmers

9.5 Conclusion

Chapter 10. Bacteria-Powered Microrobots

10.1 Introduction

10.2 Methods

10.3 Control of microbiorobots

10.4 Microbiorobots for manipulation and sensing

10.5 Conclusions

Chapter 11. Control of as a Microrobot

11.1 Introduction

11.2 Galvanotaxis Tetrahymena pyriformis

11.3 Phototaxis of Tetrahymena pyriformis

11.4 Magnetotaxis of Tetrahymena pyriformis

11.5 Real-time feedback control system for magnetotactic Tetrahymena pyriformis

Perspectives and Outlook


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