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How do I create a global variable in Robot Framework? 

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Proceedings ArticleDOI
10 Dec 2002
89 Citations
Appropriate expressions for the robot potential functions guarantee global convergence.
We present a simple heuristic controller that runs independently on each robot, yet is guaranteed to achieve an approximation to global solution in bounded time linear in population size.
This general purpose framework provides an easy way to turn a general purpose robot into a special function one.
This paper describes a unique and optimal method for real-time global path planning and collision avoidance for navigation of a mobile robot in complex time varying environments.
In this paper, we propose a hierarchical approach to solving sensor planning for the global localization of a mobile robot.
Under the proposed framework, given a specific social convention, robot is able to generate and modify its path smoothly without violating the proxemics constraints.
In this paper, we propose a robot development framework that is able to simulate all required modules of the robot, its sensor system as well as its environment including persons.
In this paper we propose a hierarchical approach to solve sensor planning for global localization of a mobile robot.
In this paper we successfully extend the single robot ceiling vision SLAM to multirobot formations for addressing global localization problem.
This paper demonstrates how a robot can perform global localisation using a panoramic mirror in conjunction with a rich 3D model of the environment and a particle filter for localisation.
The results obtained are global in the initial state of the robot, and can be applied to rapidly varying systems.
We propose a hybrid algorithm of BBO and DE, named BBDE for robot global path planning in a static environment.
The proposed variable impedance control assists the robot to perform given interaction tasks with its unknown environment and improves the overall robot–environment system performance.
All three methods are able to improve global cost by accounting for the heterogeneity of the robot team.
This helps the robot to quickly react in dynamic situations as well as achieve global goals efficiently.
Proceedings ArticleDOI
20 Feb 2002
14 Citations
It seems easier and much more intuitive for the programmer to specify what the robot should be doing, and let it learn the fine details of how to do it.
The programming framework employs robot capabilities as abstractions and thereby facilitates intuitive use and extensibility.
This demonstrates that our algorithmic framework can automatically optimize control and communication policies for complex multi-robot systems.
Journal ArticleDOI
Vassilios D. Tourassis, Marcelo H. Ang 
01 Oct 1989
32 Citations
The proposed framework allows for the mathematical definition of the region in the robot workspace where convergence to the correct solution is guaranteed.