Comparative Analysis of Methods for Predicting the Trajectory of Object Movement in a Collaborative Robot-manipulator Working Area
Year: 2024
Type: article
Abstract: This article presents a comparative analysis of methods for predicting object movement trajectories in a collaborative robots-manipulator working area. The following approaches are evaluated: linear method, Kalman filter, extended Kalman filter (EKF), behavioral models and LSTM models. A mathematical description of each method is accompanied by an analysis of their advantages and disadvantages, including prediction accuracy, implementation complexity, and resource requirements. The results show that the choice of the method depends on the specifics of the task and the robot's operating conditions, which allows for an optimal combination of efficiency and computational costs.
Authors: Svitlana Maksymova, Amer Abu-Jassar, Dmytro Gurin, Vladyslav Yevsieiev
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6948932135
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