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Microbiorobotics is a new engineering discipline that inherently involves a multidisciplinary approach (mechanical engineering, cellular biology, mathematical modeling, control sy… Read more
SUSTAINABLE DEVELOPMENT
Save up to 30% on top Physical Sciences & Engineering titles!
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
Preface
Acknowledgements
About the Editors
PART 1. Introduction
Motivation for Microbiorobotics
Historical Overview
Low Reynolds number swimming
Taxis of microorganisms
Artificial bio-inspired microrobots
Biological microrobots
Conclusion
About this Book
Theory
Experiments
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
Acknowledgements
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
Acknowledgements
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
Acknowledgments
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
Acknowledgements
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
Acknowledgements
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
Index
MK
AJ