کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
413551 680555 2008 21 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
From schemas to neural networks: A multi-level modelling approach to biologically-inspired autonomous robotic systems
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
From schemas to neural networks: A multi-level modelling approach to biologically-inspired autonomous robotic systems
چکیده انگلیسی

Biology has been an important source of inspiration in building adaptive autonomous robotic systems. Due to the inherent complexity of these models, most biologically-inspired robotic systems tend to be ethological without linkage to underlying neural circuitry. Yet, neural mechanisms are crucial in modelling adaptation and learning. The work presented in this paper describes a schema and neural network multi-level modelling approach to biologically inspired autonomous robotic systems. A prey acquisition model with detour behaviour in frogs is presented to exemplify the modelling approach. The model is tested with simulated and physical robots using the ASL/NSL and MIRO robotic system.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Robotics and Autonomous Systems - Volume 56, Issue 2, 29 February 2008, Pages 177–197
نویسندگان
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