scholarly journals A framework for sensor planning and control with applications to vision guided multi-robot systems

Author(s):  
J.R. Spletzer ◽  
C.J. Taylor
2012 ◽  
Vol 12 (24) ◽  
pp. 2494-2502 ◽  
Author(s):  
R.M. Kuppan Che ◽  
T. Nagarajan ◽  
Noh Bin Karsiti ◽  
M. Singaperum

1996 ◽  
Vol 8 (3) ◽  
pp. 286-291 ◽  
Author(s):  
Arvin Agah ◽  
◽  
George A. Bekey ◽  
◽  

This paper presents a new methodology for the efficiency assessment of task performance of decentralized autonomous multi-robot system. This formulation considers the types of the robots (in terms of sensing, action, and control), the description of the environment (the world), the facts (rules) of the world, and the specifications of the tasks to be performed. The performance efficiency is defined in terms of the total time required for completing the task, total energy requirement, and the comparison of the final results and the desired results. A robot colony simulator was used to perform a number of experiments, measuring the task performance efficiency, of a colony of simulated robots which perform specific tasks in a virtual world. The experimental results are presented in this paper. This paper also describes a team of four robots designed and fabricated in hardware. The physical robots were used successfully to validate the results from the simulated colony.


Robotica ◽  
1985 ◽  
Vol 3 (4) ◽  
pp. 265-272 ◽  
Author(s):  
C. A. J. Braganca ◽  
P. Sholl

SUMMARYThe goal of manufacturing system development today is the integration of basic production elements to suit a variety of industrial and shop floor requirements. This may seem an awesome goal, but the authors suggest that careful assessment of requirement at each level and an appreciation of the true level of complexity needed at each level for control purposes, systematic integration will be possible as products become commercially available.Six levels of integration can be defined for robot-based applications: Level 1 - the single robot application level Level 2 - the system with robots working in teams Level 3 - the combination of different robot systems Level 4 - the combination of feeding work automatically to islands of automation from fully automated warehouses. Level 5 - the integration of planning and control functions Level 6 - the integration of CAD based design functions.The approach to integration and the level to which it extends will to a large extent be determined by a company's objective, present computer capacity, general production capability and availability of appropriate flexible automation products and systems for use in a given industrial environment. This paper examines the global needs of hierarchical integration, the level of control needed and the implication of VAL-II to this end.


Author(s):  
Siyu Zhou ◽  
Mariano J. Phielipp ◽  
Jorge A. Sefair ◽  
Sara I. Walker ◽  
Heni Ben Amor

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