Cells and Robots: Modeling and Control of Large-Size Agent PopulationsCells and Robots is an outcome of the multidisciplinary research extending over Biology, Robotics and Hybrid Systems Theory. It is inspired by modeling reactive behavior of the immune system cell population, where each cell is considered as an independent agent. In our modeling approach, there is no difference if the cells are naturally or artificially created agents, such as robots. This appears even more evident when we introduce a case study concerning a large-size robotic population scenario. Under this scenario, we also formulate the optimal control of maximizing the probability of robotic presence in a given region and discuss the application of the Minimum Principle for partial differential equations to this problem. Simultaneous consideration of cell and robotic populations is of mutual benefit for Biology and Robotics, as well as for the general understanding of multi-agent system dynamics. The text of this monograph is based on the PhD thesis of the first author. The work was a runner-up for the fifth edition of the Georges Giralt Award for the best European PhD thesis in Robotics, annually awarded by the European Robotics Research Network (EURON). |
From inside the book
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... signal processing, intercellular communication and cell reactive behavior in close relation to signal processing, communication and control for mobile robots. Investigation of the cell-robot analogy has the potential to influence future ...
... signals controlling the robot, provide a little insight into the structure of the robot control software. Although reverse engineering of an individual cell seems important, it ignores the fact that cells are rarely under physiological ...
... signals to them. It is also worth mentioning that sometimes T-cells are not able to get straight to the APC sites because they must avoid other T-cells. A similar kind of scenario is studied in Robotics [44] in order to understand the ...
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Contents
1 | |
Immune System and TCell Receptor Dynamics of | 9 |
MicroAgent and Stochastic MicroAgent Models | 15 |
MicroAgent Population Dynamics | 25 |
Stochastic MicroAgent Model of the TCell Receptor | 35 |
Other editions - View all
Cells and Robots: Modeling and Control of Large-Size Agent Populations Dejan Lj. Milutinovic,Pedro U. Lima No preview available - 2007 |
Cells and Robots: Modeling and Control of Large-Size Agent Populations Dejan Lj. Milutinovic,Pedro U. Lima No preview available - 2009 |
Cells and Robots: Modeling and Control of Large-Size Agent Populations Dejan Lj. Milutinovic,Pedro U. Lima No preview available - 2010 |