Numerical Method Using Homotopic Iterative Functions Based on the via Point for the Joint-Space Trajectory Generation
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Published:2023-01-14
Issue:2
Volume:13
Page:1142
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ISSN:2076-3417
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Container-title:Applied Sciences
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language:en
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Short-container-title:Applied Sciences
Author:
Quiñonez YadiraORCID, Zatarain Oscar, Lizarraga Carmen, Aguayo Raquel, Mejía JezreelORCID
Abstract
In recent years, many methods have been developed to calculate the trajectory of a robotic arm in the joint-space. These methods have many advantages, such as a soft motion and infinite jerk avoidance. Nevertheless, these methods present other problems that must be avoided, such as an unnatural motion while generating the trajectory and producing unsafe planning. In this sense, this work presents a numerical method named iterative optimal solution trajectory via (ζ)v-homotopy former (IOSTV (ζ)v-HF). It is proposed to reduce and avoid oscillation while obtaining trajectories with different shapes to perform better, reliable, smooth, and long-life robotic systems. The algorithm with the proposed method is described, and examples of the trajectories obtained with different parameters are presented. In addition, these were mapped and a trajectory with a continuous velocity and a reduced oscillation and another trajectory with the same restrictions but with a continuous acceleration and zero oscillations were shown; the method is versatile since it allows for choosing and finding the most optimal solutions according to the application. Finally, the article ends with a critical discussion of the experimental results.
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Reference39 articles.
1. Martín, F.A., Castillo, J.C., Malfáz, M., and Castro-González, Á. (2022). Applications and Trends in Social Robotics. Electronics, 11. 2. Robots in the Workplace: A Threat to—Or Opportunity for—Meaningful Work?;Smids;Philos. Technol.,2020 3. Grau, A., Indri, M., Bello, L.L., and Sauter, T. (November, January 29). Industrial robotics in factory automation: From the early stage to the Internet of Things. Proceedings of the 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China. 4. Yenorkar, R., and Chaskar, U.M. (2018, January 14–15). GUI Based Pick and Place Robotic Arm for Multipurpose Industrial Applications. Proceedings of the Second International Conference on Intelligent Computing and Control, Systems, Madurai, India. 5. Kyrarini, M., Lygerakis, F., Rajavenkatanarayanan, A., Sevastopoulos, C., Nambiappan, H.R., Chaitanya, K.K., Babu, A.R., Mathew, J., and Makedon, F. (2021). A Survey of Robots in Healthcare. Technologies, 9.
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