TY - JOUR
T1 - Chapter 3 Interfacing Insect Brain for Space Applications
AU - Di Pino, Giovanni
AU - Seidl, Tobias
AU - Benvenuto, Antonella
AU - Sergi, Fabrizio
AU - Campolo, Domenico
AU - Accoto, Dino
AU - Maria Rossini, Paolo
AU - Guglielmelli, Eugenio
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
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U2 - 10.1016/S0074-7742(09)86003-0
DO - 10.1016/S0074-7742(09)86003-0
M3 - Article
C2 - 19607989
AN - SCOPUS:67650119962
VL - 86
SP - 39
EP - 47
JO - International Review of Neurobiology
JF - International Review of Neurobiology
SN - 0074-7742
ER -