Paper Info
Title
Acquisition of adaptive behavior of robot through bow-tie structure.
Abstract
In this paper, we discussed the role of cognitions in biological control systems introducing the bow-tie structure. In bow-tie structure, sensory inputs with great diversity are translated into smaller diversity but semantic information, and the semantic information is re-translated to great diversity signals to create variety of behaviors. The process of reducing the signal diversity can be considered as the cognition in biological system. Our simulation results with the 2DOF inverse pendulum and the 27DOF humanoid robot showed that the lower diverse signal tuning is able to adapt the robot behaviors to the environment through body/environment interactions, suggesting that how recognize the environment can be useful to choose appropriate behaviors. Obviously, the behavior modifications in our method are strongly constrained by the diversity translating algorithm, mechanical resonance mode in this paper. We need further discussions for the relationship between signal diversity controls and behavior adaptations.
Year
Venue
Field
2016
Joint IEEE International Conference on Development and Learning and Epigenetic Robotics ICDL-EpiRob
Computer science,Semantic information,Bow tie,Mechanical resonance,Artificial intelligence,Pendulum,Cognition,Robot,Adaptive behavior,Humanoid robot
DocType
ISSN
Citations 
Conference
2161-9484
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Shotaro Okajima101.35
Shingo Shimoda213520.49
Yasuhisa Hasegawa345694.62