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The International Journal of Robotics Research
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Nanorobot for Brain Aneurysm

Adriano Cavalcanti

CAN Center for Automation in Nanobiotech, Melbourne VIC 3168, Australia adrianocavalcanti{at}canbiotechnems.com

Bijan Shirinzadeh

Monash University, Department of Mechanical Engineering, Robotics and Mechatronics Research Laboratory, Clayton, Melbourne VIC 3800, Australia bijan.shirinzadeh{at}eng.monash.edu.au

Toshio Fukuda

Nagoya University Dept. of Micro-Nano Systems Eng., Nagoya, Aichi 464-8603, Japan, fukuda{at}mein.nagoya-u.ac.jp

Seiichi Ikeda

Nagoya University Dept. of Micro-Nano Systems Eng., Nagoya, Aichi 464-8603, Japan, ikeda{at}robo.mein.nagoya-u.ac.jp

In this paper we present how nanoelectronics should advance medicine, providing details on the teleoperated techniques and equipment design methodology necessary for the effective development of nanorobots. The platform architecture describes how to use a nanorobot for intracranial prognosis, and shows how it should be integrated for medical instrumentation. Furthermore, the current study establishes proteomics, nanobioelectronics, and electromagnetics as the basis to advance medical nanorobotics. To illustrate the proposed approach, the nanorobots must search for protein overexpression signals in order to recognize initial stages of aneurysm. An advanced nanomechatromics simulator, using a three-dimensional task-based environment, is implemented to provide an effective tool for device prototyping and medical instrumentation analysis. Thus, based on clinical data and nanobioelectronics, the proposed model offers details about how a nanorobot should help with the early detection of cerebral aneurysm.

Key Words: architecture • biochip • medical nanorobotics • nanobioelectronics • nanobiosensor.

The International Journal of Robotics Research, Vol. 28, No. 4, 558-570 (2009)
DOI: 10.1177/0278364908097586
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