Abstract:
The article presents a methodology for substantiation of requirements for the technical vision system of a robotic complex. A technical vision system of the robotic complex is viewed as a combination of two subsystems: measurement and recognition. To implement the methodology we developed methods for calculating partial optimality criteria for substantiation of the technical requirements and evaluation of search area of the optimal values of measuring instruments characteristics of the technical vision system of a robotic complex; a recursive procedure for choosing the optimal values of measuring instruments characteristics of the technical vision system; a scheme of trade-off for evaluating the optimal technical requirements for advanced measurement instruments of the technical vision system in different technical and economical conceptions.
The search for optimal solution is done according to partial optimality criteria: recognition efficiency, the cost and risks of creating measuring instruments. For creating the recursive procedure based on formulated assumptions and assertions, a criterion, which provides the search of Pareto-optimal solutions, was synthesized. The developed methodology takes into account the existing (more suitable) technical and economical conceptions of creating a robotic complex while choosing trade-offs.
Citation:
D. S. Chirov, O. G. Chertova, T. N. Potapchuk, “Methods of study requirements for the complex robotic vision system”, Tr. SPIIRAN, 51 (2017), 152–176
Linking options:
https://www.mathnet.ru/eng/trspy939
https://www.mathnet.ru/eng/trspy/v51/p152
This publication is cited in the following 2 articles:
Albert Aghajanyan, Rudolf Neydorf, Dean Vučinić, Lecture Notes in Mechanical Engineering, Advances in Visualization and Optimization Techniques for Multidisciplinary Research, 2020, 317
R. A. Neydorf, A. G. Aghajanyan, D. Vucinic, 2017 IEEE East-West Design & Test Symposium (EWDTS), 2017, 1