What is it about?
Before a robot can drive around at a disaster site, a lot of planning has to be done. This paper describes how one can make use of the functionallity that can be found in the Robotics Toolbox of Matlab, as the basis of a workshop that was given at the RoboCup Rescue.
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Why is it important?
To develop a new algorithm, a robot researcher has to assume that all other functionallity is already in place. Inside this workshop a sort of reference implementation is given of a working solution. Each component can be developed further, but a reference solution for each component of rescue robot (in a simulated disaster) is given in this paper.
Perspectives
A lot of this sort of workshops are based on Python, but is good that also solutions are presented in other languages. Mathlab has many quite advanced toolboxes, with reference solutions, available. For a workshop it has the benifit that each solution is well documented, and has a clear reference to the academic paper that was the origin of the algorithm.
Dr. Arnoud Visser
Universiteit van Amsterdam
Read the Original
This page is a summary of: Integrating the Latest Artificial Intelligence Algorithms into the RoboCup Rescue Simulation Framework, January 2019, Springer Science + Business Media,
DOI: 10.1007/978-3-030-27544-0_39.
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