Version 1
: Received: 31 December 2020 / Approved: 4 January 2021 / Online: 4 January 2021 (12:20:55 CET)
How to cite:
Tsymbal, O.; Mercorelli, P. Model of Problem Solving for Robotic Actions Planning. Preprints2021, 2021010028. https://doi.org/10.20944/preprints202101.0028.v1
Tsymbal, O.; Mercorelli, P. Model of Problem Solving for Robotic Actions Planning. Preprints 2021, 2021010028. https://doi.org/10.20944/preprints202101.0028.v1
Tsymbal, O.; Mercorelli, P. Model of Problem Solving for Robotic Actions Planning. Preprints2021, 2021010028. https://doi.org/10.20944/preprints202101.0028.v1
APA Style
Tsymbal, O., & Mercorelli, P. (2021). Model of Problem Solving for Robotic Actions Planning. Preprints. https://doi.org/10.20944/preprints202101.0028.v1
Chicago/Turabian Style
Tsymbal, O. and Paolo Mercorelli. 2021 "Model of Problem Solving for Robotic Actions Planning" Preprints. https://doi.org/10.20944/preprints202101.0028.v1
Abstract
Proposed article deals with analyses on trends of problem-solving robotic applications in manu-facturing, especially in transportations and manipulations. Intelligent agent-based manufacturing systems with robotic agents are observed. Intelligent core of such units must be able to propose the plan of problem-solving in form of strategy. The logical model of adaptive strategies planning for intelligent robotic system is described in form of predicates with presentation of data processing on base of set theory descriptions. Dynamic structure of workspace and possible change of goals are considered as reasons for functional strategies adaptation. Proposed formal descriptions are sup-ported by model of mobile robotic platform, acting in warehouse.
Keywords
adaptation; problem-solving; robotics; predicates; manufacturing system
Subject
Engineering, Control and Systems Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
