Computational Tasks in Medical Nanorobotics

Freitas, Robert A.

doi:10.1002/9780470429983.ch15

Cited by 12 publications

(12 citation statements)

References 66 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…And finally, a 50 µm radius would be the size of tissue-embedded repeater stations for a communication network. The larger robots could be placed directly into the tissue via microneedles or form via self-assembly [31] from smaller robots that have diapedesed out of nearby blood vessels. Fig.…”

Section: Transmission Capabilitymentioning

confidence: 99%

Acoustic communication for medical nanorobots

Hogg

Freitas

2012

Nano Communication Networks

View full text Add to dashboard Cite

Communication among microscopic robots (nanorobots) can coordinate their activities for biomedical tasks. The feasibility of in vivo ultrasonic communication is evaluated for micronsize robots broadcasting into various types of tissues. Frequencies between 10 MHz and 300 MHz give the best tradeoff between efficient acoustic generation and attenuation for communication over distances of about 100 microns. Based on these results, we find power available from ambient oxygen and glucose in the bloodstream can readily support communication rates of about 10 4 bits/s between micron-sized robots. We discuss techniques, such as directional acoustic beams, that can increase this rate. The acoustic pressure fields enabling this communication are unlikely to damage nearby tissue, and short bursts at considerably higher power could be of therapeutic use.

show abstract

Section: Transmission Capabilitymentioning

confidence: 99%

Acoustic communication for medical nanorobots

Hogg

Freitas

2012

Nano Communication Networks

View full text Add to dashboard Cite

show abstract

“…Reliable locomotion of in vivo nanorobots require controls [28] suited to the millisecond time and micron space scales of robot motion. These controls include both individual robot behavior [3,55] and coordinated behaviors of multiple nearby robots (e.g., swarms) due to hydrodynamic interactions [33,40,43,46,49,69].…”

Section: Discussionmentioning

confidence: 99%

Using surface-motions for locomotion of microscopic robots in viscous fluids

Hogg

2014

J Micro-Bio Robot

View full text Add to dashboard Cite

Microscopic robots could perform tasks with high spatial precision, such as acting in biological tissues on the scale of individual cells, provided they can reach precise locations. This paper evaluates the feasibility of in vivo locomotion for micron-size robots. Two appealing methods rely only on surface motions: steady tangential motion and small amplitude oscillations. These methods contrast with common microorganism propulsion based on flagella or cilia, which are more likely to damage nearby cells if used by robots made of stiff materials. The power potentially available to robots in tissue supports speeds ranging from one to hundreds of microns per second, over the range of viscosities found in biological tissue. We discuss design trade-offs among propulsion method, speed, power, shear forces and robot shape, and relate those choices to robot task requirements. This study shows that realizing such locomotion requires substantial improvements in fabrication capabilities and material properties over current technology.

show abstract

“…At the other end of the size spectrum, we have nanorobots. For example, the design of an artificial mechanical red blood cell or "respirocyte" envisions that a 104 bit/sec nanocomputer meeting all its computational requirements, which is roughly about 1/50th the capacity of a 1976vintage Apple II microprocessor-based PC [5].…”

Section: Communications and Computation Capabilitiesmentioning

confidence: 99%

Securing emergent behaviour in swarm robotics

Chen¹,

Ng²

2021

Preprint

View full text Add to dashboard Cite

Swarm robotics is the study of how a large number of relatively simple robots can be designed so that a desired collective behaviour emerges from the local interactions among robots and between the robots and their environment. While many aspects of a swarm may be modelled as various types of ad hoc networks, and accordingly many aspects of security of the swarm may be achieved by conventional means, here we will focus on swarm emergent behaviour as something that most distinguishes swarm robotics from ad hoc networks. We discuss the challenges emergent behaviour poses on communications security, and by classifying a swarm by types of robots, types of communication channels, and types of adversaries, we examine what classes may be secured by traditional methods and focus on aspects that are most relevant to allowing emergent behaviour. We will examine how this can be secured by ensuring that communication is secure. We propose a simple solution using hash chains, and by modelling swarm communications using a series of random graphs, we show that this allows us to identify rogue robots with a high probability.

show abstract

Computational Tasks in Medical Nanorobotics

Cited by 12 publications

References 66 publications

Acoustic communication for medical nanorobots

Acoustic communication for medical nanorobots

Using surface-motions for locomotion of microscopic robots in viscous fluids

Securing emergent behaviour in swarm robotics

Contact Info

Product

Resources

About