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- W2626882118 abstract "In this chapter, we present a cyber-physical approach towards the design of bio-hybrid micro-robotic swarms that can achieve various complex tasks at micro-level in a minimal invasive manner, such as abnormal tissue detection and drug delivery in hardly accessible regions of the human body. To this end, we cease to view micro-robots as passive point-like particles, but rather as interactive Turing machines performing complex biochemical processing, as well as physical interactions in a realistic 3D environment. Our theoretical framework is based on a non-equilibrium statistical physics approach capable of accounting for attraction and repulsion interactions among micro-robots, as well as the volume exclusion effects. To account for biological sensing, interacting, actuation dynamics, and the 3D complex tumor microenvironment, we also use an open-source 3D multiscale simulator specifically developed for this research. Taken together, the theoretical framework and computational platform we develop can enable various design trade-offs of interacting bio-hybrid micro-robotic swarms for future medical applications." @default.
- W2626882118 created "2017-06-23" @default.
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- W2626882118 date "2017-01-01" @default.
- W2626882118 modified "2023-09-26" @default.
- W2626882118 title "Modeling, Analysis and Design of Bio-hybrid Micro-robotic Swarms for Medical Applications" @default.
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- W2626882118 doi "https://doi.org/10.1007/978-3-319-50688-3_22" @default.
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