3D Printed DELTA Robot for Educational Purposes

It is presented a new low-cost 3D printed Delta educational robot design. It consists of a movable platform, a fixed platform and 3 innovative links with rotary movable joints, which are manufactured already assembled using FDM 3D printing technology. The mechanical design of the robot is described and a geometric method for solving the inverse kinematics problem is given. It is described the method of manufacturing the components and hardware and software for controlling the robot. An experiment is conducted to study the repeatability of movements along a trajectory. Different possibilities for its application in the educational process are discussed.

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Publication Details

Published
2024-09-26
DOI
https://doi.org/10.23919/softcom62040.2024.10721779
Citations
3
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.75
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article

3D Printed DELTA Robot for Educational Purposes

Bozhidar Naydenov, Kaloyan Yovchev, Ivan Chavdarov, Vladislav Hrosinkov
3 citations
Robotic Path Planning Algorithms
0.75
article

3D Printed DELTA Robot for Educational Purposes

Bozhidar Naydenov, Kaloyan Yovchev, Ivan Chavdarov, Vladislav Hrosinkov
article en
3 citations

Abstract

It is presented a new low-cost 3D printed Delta educational robot design. It consists of a movable platform, a fixed platform and 3 innovative links with rotary movable joints, which are manufactured already assembled using FDM 3D printing technology. The mechanical design of the robot is described and a geometric method for solving the inverse kinematics problem is given. It is described the method of manufacturing the components and hardware and software for controlling the robot. An experiment is conducted to study the repeatability of movements along a trajectory. Different possibilities for its application in the educational process are discussed.

Bulgarian Academy of Sciences (BG), Sofia University "St. Kliment Ohridski" (BG)
Openalex Percentile: Top 27%
Robotic Path Planning Algorithms
0.75
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