Polymorphic robotic system controlled by an observing camera

被引:0
作者
Kocer, Bilge [1 ]
Yuksel, Tugce [2 ]
Yumer, M. Ersin [1 ]
Ozen, C. Alper [3 ]
Yaman, Ulas [2 ]
机构
[1] TUBITAK SAGE, Def Ind Res & Dev Inst, TR-06261 Ankara, Turkey
[2] Middle East Tech Univ, Mech Engn Dept, TR-06531 Ankara, Turkey
[3] Lehigh Univ, Mech Engn Dept, Bethlehem, PA 18015 USA
来源
SECOND INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING | 2010年 / 7546卷
关键词
Polymorphic Robotic System; Adaptive Image Filtering; Digital Image Processing; Robotics; Camera Control;
D O I
10.1117/12.855093
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Polymorphic robotic systems, which are composed of many modular robots that act in coordination to achieve a goal defined on the system level, have been drawing attention of industrial and research communities since they bring additional flexibility in many applications. This paper introduces a new polymorphic robotic system, in which the detection and control of the modules are attained by a stationary observing camera. The modules do not have any sensory equipment for positioning or detecting each other. They are self-powered, geared with means of wireless communication and locking mechanisms, and are marked to enable the image processing algorithm detect the position and orientation of each of them in a two dimensional space. Since the system does not depend on the modules for positioning and commanding others, in a circumstance where one or more of the modules malfunction, the system will be able to continue operating with the rest of the modules. Moreover, to enhance the compatibility and robustness of the system under different illumination conditions, stationary reference markers are employed together with global positioning markers, and an adaptive filtering parameter decision methodology is enclosed. To the best of authors' knowledge, this is the first study to introduce a remote camera observer to control modules of a polymorphic robotic system.
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页数:7
相关论文
共 13 条
[1]  
Brandt G, 1999, IEEE Trans Inf Technol Biomed, V3, P252, DOI 10.1109/4233.809169
[2]   Visually guided movements: learning with modular neural maps in robotics [J].
Buessler, JL ;
Urban, JP .
NEURAL NETWORKS, 1998, 11 (7-8) :1395-1415
[3]   CONRO: Towards deployable robots with inter-robots metamorphic capabilities [J].
Castano, A ;
Shen, WM ;
Will, P .
AUTONOMOUS ROBOTS, 2000, 8 (03) :309-324
[4]  
Castano A., IEEE ASME T MECHATRO, V7, P403
[5]  
Crespi A., 2006, Proc. of the 9th Int. Conf. on Climbing and Walking Robots, P19
[6]  
CRESPI A, ROBOTICS AUTONOMOUS, V50, P163
[7]  
Gomez G., 2004, P CLAWAR 2004 MADR S, P869
[8]  
McGray C, 1998, 1998 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS - PROCEEDINGS, VOLS 1-3, P837, DOI 10.1109/IROS.1998.727303
[9]  
Moeckel R., 2005, P INT C CLIMBING WAL, P685
[10]   Toward a scalable modular robotic system - Navigation, docking, and integration of M-TRAN [J].
Murata, Satoshi ;
Kakomura, Kiyoharu ;
Kurokawa, Haruhisa .
IEEE ROBOTICS & AUTOMATION MAGAZINE, 2007, 14 (04) :56-63