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2020 IEEE International Conference on Information Technologies

Dynamic Hierarchy in Decision-Making in Behaviour Selection of Mobile Robots

Submitted by conference organizer on Tue, 08/15/2017 - 22:50

Authors: Roumen Trifonov, Galya Pavlova
Technical University of Sofia, Sofia (Bulgaria)

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Submitted by Leon Rothkrantz on Tue, 09/19/2017 - 13:03


-an intersting paper, it would be nice to see some code how different modules are implemented

-is it possible to give by an example that the proposed hierarchical approach outperforms authoritative system by imposed rules

-the authors claim that there system is dynamic, this means that the system is able to handle dynamic changes in the environment? but how?

-currently some robot systems use a probabilistic way of reasoning, a Bayesian approach. Next futur the authors plan to use a probabilistic approach?  

Submitted by Vanya Markova on Wed, 09/20/2017 - 17:19


It would be nice to apply methods and algorithms in the field of Machine Learning.


Submitted by Ventseslav Shopov on Wed, 09/20/2017 - 17:34


A nice paper on actual topic.

There is an interesting approach to decision-making by an autonomous mobile agent.

A six-legged robot application is described in detail.


A minor question: “The selection of the specific coordinator is done in the coordinator block.” - it would be interesting to briefly mention what the coordinator block is?