Numerical Study of Algorithms to Construct Optimal Trajectories for Collaborative Robots in Industry 5.0 Manufacturing Scenarios

Elgun Jabrayilzade

Публікація:
Numerical Study of Algorithms to Construct Optimal Trajectories for Collaborative Robots in Industry 5.0 Manufacturing Scenarios

dc.contributor.author	Elgun Jabrayilzade
dc.date.accessioned	2025-10-04T11:44:59Z
dc.date.available	2025-10-04T11:44:59Z
dc.date.issued	2025
dc.description.abstract	This study considers the problem of numerical modeling of algorithms for constructing optimal trajectories for collaborative robots in Industry 5.0 production scenarios, where the key aspect is safe and effective interaction with a dynamic environment and humans. The developed mathematical models are based on potential function methods and multi-criteria optimization, which allows combining obstacle avoidance, energy consumption reduction, and task execution time minimization. Numerical modeling has shown that the actual trajectory of the robot remains convergent to the desired one even in the presence of obstacles, confirming the adaptability of the algorithms to unpredictable changes in the environment. Analysis of the time error showed its short-term increase during maneuvering and subsequent stabilization, which indicates the reliability of the proposed models. The study of the smoothness of movement confirmed the absence of sharp changes in the curvature of the trajectory, which ensures safety and comfort of operation in production processes. The results obtained prove the feasibility of using the developed approaches to create intelligent robotic systems capable of increasing production efficiency, reducing accident risks, and improving the quality of interaction between robots and humans in the Industry 5.0 concept.
dc.identifier.citation	Elgun Jabrayilzade Numerical Study of Algorithms to Construct Optimal Trajectories for Collaborative Robots in Industry 5.0 Manufacturing Scenarios / Elgun Jabrayilzade // Manufacturing & Mechatronic Systems 2025 : Thesises of Reports of IX-st International Conference, October 25-26, 2025. - Kharkiv, 2025. - P. 18-21.
dc.identifier.uri	https://openarchive.nure.ua/handle/document/32853
dc.language.iso	en_US
dc.subject	optimal trajectories
dc.subject	collaborative robot
dc.subject	obstacle avoidance
dc.subject	safe interaction.
dc.subject	trajectory planning
dc.title	Numerical Study of Algorithms to Construct Optimal Trajectories for Collaborative Robots in Industry 5.0 Manufacturing Scenarios
dc.type	Thesis
dspace.entity.type	Publication