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

2005 ◽  
Author(s):  
J.R. Spletzer ◽  
C.J. Taylor
Keyword(s):  
Sensor Planning ◽  
Planning And Control ◽  
Robot Systems ◽  
And Control ◽  
Multi Robot

State Based Modeling and Control of a Multi Robot Systems Using Simulink/Stateflow

2012 ◽  
Vol 12 (24) ◽  
pp. 2494-2502 ◽  
Author(s):  
R.M. Kuppan Che ◽  
T. Nagarajan ◽  
Noh Bin Karsiti ◽  
M. Singaperum
Keyword(s):  
Modeling And Control ◽  
Robot Systems ◽  
And Control ◽  
Multi Robot

Efficiency Assessment of Performance of Decentralized Autonomous Multi-Robot Systems

1996 ◽  
Vol 8 (3) ◽  
pp. 286-291 ◽  
Author(s):  
Arvin Agah ◽  
◽  
George A. Bekey ◽  
◽  
Keyword(s):  
Task Performance ◽  
Virtual World ◽  
Energy Requirement ◽  
Robot System ◽  
Efficiency Assessment ◽  
The World ◽  
Robot Systems ◽  
Time Required ◽  
And Control ◽  
Multi Robot

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.

VAL-II, a language for hierarchical control of a robot-based automated factory

Robotica ◽  
1985 ◽  
Vol 3 (4) ◽  
pp. 265-272 ◽  
Author(s):  
C. A. J. Braganca ◽  
P. Sholl
Keyword(s):  
System Development ◽  
Hierarchical Control ◽  
Shop Floor ◽  
Planning And Control ◽  
Control Functions ◽  
Robot Systems ◽  
General Production ◽  
Automated Warehouses ◽  
Level 3 ◽  
And Control

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.

scholarly journals Clone Swarms: Learning to Predict and Control Multi-Robot Systems by Imitation

2019 ◽  
Author(s):  
Siyu Zhou ◽  
Mariano J. Phielipp ◽  
Jorge A. Sefair ◽  
Sara I. Walker ◽  
Heni Ben Amor
Keyword(s):  
Robot Systems ◽  
And Control ◽  
Multi Robot
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