

Efficiency and effectiveness of many robotics tasks depend crucially on the quality of the solution of the problem of collision avoidance. In many cases, traditional path planning and obstacle avoiding approaches and algorithms can not guarantee a sufficiently high quality of the solution of the problem of collision avoidance for multi-robot and human-robot interactions. In this paper, we consider demonstrations of true intentions and demonstrations of deceptions for the problem of collision avoidance. © 2020 American Institute of Physics Inc.. All rights reserved.
| Funding sponsor | Funding number | Acronym |
|---|---|---|
| Ministry of Education and Science of the Russian Federation | Minobrnauka | |
| Government Council on Grants, Russian Federation |
This work is partially supported by the Ministry of Education and Science of the Russian Federation project "Combinatorial models in computer science and their applications". The work was supported by Act 211 Government of the Russian Federation, contract N 02. A03.21.0006.
Popov, V.; Department of Intelligent Systems and Robotics, Institute of Natural Sciences and Mathematics, Ural Federal University, Lenin st, 51, Ekaterinburg, Russian Federation;
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