Toward rapid prototyping of miniature capsule robots

A Taddese, M Beccani, E Susilo… - … on Robotics and …, 2015 - ieeexplore.ieee.org
2015 IEEE International Conference on Robotics and Automation (ICRA), 2015ieeexplore.ieee.org
Minimally invasive robotic surgery techniques are becoming popular thanks to their
enhanced patient benefits, including shorter recovery time, better cosmetic results and
reduced discomforts. Less invasive procedures would be achieved with the use of Medical
Capsule Robots (MCRs). These devices are characterized by low power requirements and
small dimensions as well as uncompromising safety. MCRs operate wirelessly in abdominal
Minimally Invasive Surgery (MIS) and Natural Orifice Transluminal Endoscopic Surgery …
Minimally invasive robotic surgery techniques are becoming popular thanks to their enhanced patient benefits, including shorter recovery time, better cosmetic results and reduced discomforts. Less invasive procedures would be achieved with the use of Medical Capsule Robots (MCRs). These devices are characterized by low power requirements and small dimensions as well as uncompromising safety. MCRs operate wirelessly in abdominal Minimally Invasive Surgery (MIS) and Natural Orifice Transluminal Endoscopic Surgery (NOTES) or in the Gastrointestinal (GI) tract. The design process of MCRs, however, is expensive and time consuming. A platform for rapid prototyping MCRs is needed so that MCR researchers can reduce development costs and spend more time in studying innovative MCR applications. In this work, we introduce an open source modular platform geared toward rapid prototyping MCRs. To speed up the prototyping process, the MCR is programmed using TinyOS instead of bare-bone C. We present the hardware architecture of the platform, and the motivation for using TinyOS. To show the viability of TinyOS, we present results from an experiment involving sensing, actuation and wireless communication. This work lays the foundation for our future goal of building an integrated design environment for the design, analysis and simulation of MCRs.
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