DocumentCode :
3507443
Title :
Automatic onboard and online modelling of modular and self-reconfigurable robots
Author :
Meister, E. ; Nosov, Eugen ; Levi, P.
Author_Institution :
Inst. of Parallel & Distrib. Syst., Univ. of Stuttgart, Stuttgart, Germany
fYear :
2013
fDate :
12-15 Nov. 2013
Firstpage :
91
Lastpage :
96
Abstract :
In this paper, we introduce a framework for automatic generation of dynamic equations for modular and reconfigurable robotic systems. The framework is developed in C++ and is capable to deal with both symbolic and numerical type of variables. For this reason, the model for kinematics and dynamics can either be formulated symbolically with high precisions or numerically if the computing time is for major interest. These capabilities makes it powerful for many different scientific and practical applications. The framework was first developed and evaluated in MATLAB and has been finally ported to modular robots running on an embedded processor. Different multi robot configurations have been evaluated and compared with simulation results.
Keywords :
C++ language; control engineering computing; digital signal processing chips; embedded systems; mathematics computing; multi-robot systems; robot dynamics; robot kinematics; Blackfin BF561 DSP processor; C++; MATLAB; automatic onboard; dynamic equation automatic generation; embedded processor; modular robotic systems; multirobot configurations; numerical variable type; online modelling; robot dynamics; robot kinematics; self-reconfigurable robotic systems; symbolic variable type; Assembly; Computational modeling; Equations; Kinematics; Mathematical model; Numerical models; Robots; C++ framework; automatic model generator; multi-body kinematics and dynamics; self-adaptive systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics, Automation and Mechatronics (RAM), 2013 6th IEEE Conference on
Conference_Location :
Manila
ISSN :
2158-2181
Print_ISBN :
978-1-4799-1198-1
Type :
conf
DOI :
10.1109/RAM.2013.6758565
Filename :
6758565
Link To Document :
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