کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
411833 679592 2012 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A behaviour-based control architecture for heterogeneous modular, multi-configurable, chained micro-robots
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
A behaviour-based control architecture for heterogeneous modular, multi-configurable, chained micro-robots
چکیده انگلیسی

This article presents a new control architecture designed for heterogeneous modular, multi-configurable, chained micro-robots. This architecture attempts to fill the gap that exists in heterogeneous modular robotics research, in which little work has been conducted compared to that in homogeneous modular robotics studies. The architecture proposes a three-layer structure with a behaviour-based, low-level embedded layer, a half-deliberative half-behaviour-based high layer for the central control, and a heterogeneous middle layer acting as a bridge between these two layers. This middle layer is very important because it allows the central control to treat all modules in the same manner, facilitating the control of the robot. A communication protocol and a module description language were also developed for the control architecture to facilitate communication and information flow between the heterogeneous modules and the central control. Owing to the heterogeneous behaviour of the architecture, the system can automatically reconfigure its actions to adapt to unpredicted events (such as actuator failure). Several behaviours (at low and high levels) are also presented here.


► A new control architecture designed for heterogeneous modular, multi-configurable, chained micro-robots is presented.
► A 3-layer behaviour-based structure with a heterogeneous middle layer connecting the low and high-level layers is proposed.
► The robot is able to automatically reconfigure its actions to adapt to unpredicted events.
► Several behaviours (at low and high levels) have been presented.
► A simulator for off-line optimisation has been designed and tested with real data.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Robotics and Autonomous Systems - Volume 60, Issue 12, December 2012, Pages 1607–1624
نویسندگان
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