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Chapter 3 Interfacing Insect Brain for Space Applications

2009; Elsevier BV; Linguagem: Inglês

10.1016/s0074-7742(09)86003-0

2162-5514

Giovanni Di Pino, Tobias Seidl, Antonella Benvenuto, Fabrizio Sergi, Domenico Campolo, Dino Accoto, Paolo Maria Rossini, Eugenio Guglielmelli,

EEG and Brain-Computer Interfaces

Insects exhibit remarkable navigation capabilities that current control architectures are still far from successfully mimic and reproduce. In this chapter, we present the results of a study on conceptualizing insect/machine hybrid controllers for improving autonomy of exploratory vehicles. First, the different principally possible levels of interfacing between insect and machine are examined followed by a review of current approaches towards hybridity and enabling technologies. Based on the insights of this activity, we propose a double hybrid control architecture which hinges around the concept of “insect‐in‐a‐cockpit.” It integrates both biological/artificial (insect/robot) modules and deliberative/reactive behavior. The basic assumption is that “low‐level” tasks are managed by the robot, while the “insect intelligence” is exploited whenever high‐level problem solving and decision making is required. Both neural and natural interfacing have been considered to achieve robustness and redundancy of exchanged information.