Leveraging Online Racing and Population Cloning in Evolutionary Multirobot Systems

2016 ◽  
pp. 165-180 ◽  
Author(s):  
Fernando Silva ◽  
Luís Correia ◽  
Anders Lyhne Christensen
Keyword(s):  
Multirobot Systems

scholarly journals Adaptive Recursive Decentralized Cooperative Localization for Multirobot Systems With Time-Varying Measurement Accuracy

2021 ◽  
Vol 70 ◽  
pp. 1-25
Author(s):  
Yulong Huang ◽  
Chao Xue ◽  
Fengchi Zhu ◽  
Wenwu Wang ◽  
Yonggang Zhang ◽  
...  
Keyword(s):  
Measurement Accuracy ◽  
Multirobot Systems ◽  
Cooperative Localization ◽  
Time Varying

Dynamic behavior of multirobot systems using lattice gas automata

1999 ◽  
Author(s):  
Keith M. Stantz ◽  
Stewart M. Cameron ◽  
Rush D. Robinett III ◽  
Michael W. Trahan ◽  
John S. Wagner
Keyword(s):  
Dynamic Behavior ◽  
Lattice Gas ◽  
Multirobot Systems ◽  
Lattice Gas Automata

Current research in multirobot systems

2003 ◽  
Vol 7 (1-2) ◽  
pp. 1-5 ◽  
Author(s):  
L. E. Parker
Keyword(s):  
Multirobot Systems

scholarly journals A Resilient and Energy-Aware Task Allocation Framework for Heterogeneous Multirobot Systems

2021 ◽  
pp. 1-22
Author(s):  
Gennaro Notomista ◽  
Siddharth Mayya ◽  
Yousef Emam ◽  
Christopher Kroninger ◽  
Addison Bohannon ◽  
...  
Keyword(s):  
Task Allocation ◽  
Multirobot Systems ◽  
Energy Aware

Dynamic Analysis of Two Cooperating Robots

1987 ◽  
Author(s):  
G. R. Pennock ◽  
B. S. Ryuh
Keyword(s):  
High Performance ◽  
Cost Savings ◽  
Industrial Robots ◽  
Multirobot Systems ◽  
Working Environments ◽  
Time Space ◽  
Cooperating Robots ◽  
Increasing Demand ◽  
And Control ◽  
Assembly Tasks

Abstract The use of a computer-controlled multirobot system with sensors in batch manufacturing and assembly tasks offers a number of significant advantages. These include cost savings, reliability, tolerance of working environments unacceptable to humans, and an adaptability to both structured and unstructured environments through simple reprogramming. The end results are improved productivity, efficiency, and flexibility in manufacturing and automation. However, the use of two or more cooperating robots has not been fully exploited to date. Current industrial practice employs simple time-space coordination which does not allow more than one robot working in a common workspace, such coordination and control results in under-utilization of robots. With the increasing demand for high performance manipulators and efficient multirobot manufacturing cells, there is a vital need to develop theoretical and design methodologies that will solve the generic problems faced by industrial robots working cooperatively. If multirobot systems are to be used in manufacturing and assembly tasks, a thorough knowledge of the dynamics of such systems is essential. This paper formulates the dynamics of two robots cooperating to move a rigid body object. The analysis is based on Newtonian mechanics with screw calculus and dual transformation matrices.

Learning-Based Task Allocation in Decentralized Multirobot Systems

2000 ◽  
pp. 381-390 ◽  
Author(s):  
Poj Tangamchit ◽  
John M. Dolan ◽  
Pradeep K. Khosla
Keyword(s):  
Task Allocation ◽  
Multirobot Systems

scholarly journals Multiattribute Utility Copulas for Multi-objective Coverage Control

2014 ◽  
Vol 5 (1) ◽  
Author(s):  
Christopher G. Valicka ◽  
Richard A. Rekoske ◽  
Dušan M. Stipanovic ◽  
Ali E. Abbas
Keyword(s):  
Multirobot Systems ◽  
Control Law ◽  
Objective Functions ◽  
Multiattribute Utility ◽  
Maximum Function ◽  
Differential Drive ◽  
Coverage Control ◽  
Gradient Based ◽  
Global Coverage ◽  
Nonnegative Definite

AbstractThis paper presents theoretical and experimental results related to the control and coordination of multirobot systems interested in dynamically covering a compact domain while remaining proximal, so as to promote robust inter-robot communications, and while remaining collision free with respect to each other and static obstacles. A design for a novel, gradient-based controller using nonnegative definite objective functions and an overapproximation to the maximum function is presented. By using a multiattribute utility copula to scalarize the multiobjective control problem, a control law is presented that allows for flexible tuning of the tradeofs between objectives. This procedure mitigates the controller’s dependence on objective function parameters and allows for the straightforward integration of a novel global coverage objective. Simulation and experiments demonstrate the controller’s efectiveness in promoting scenarios with collision free trajectories, robust communications, and satisfactory coverage of the entire coverage domain concurrently for a group of differential drive robots.

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