This paper investigates the use of a Stewart platform as an effective case study for parallel robots and offers a valuable educational opportunity. While a physical setup may be costly or challenging to construct, other ways exist to implement this concept through written computer programs such as MATLAB. Parallel robots, like a Stewart platform, serve as useful examples of inverse kinematics. It presents a ready-to-use case study for robotics classes. This paper addresses two main topics, the first concerns inverse kinematics, which has already been extensively researched. An overview of the latest developments in inverse kinematics calculations is provided. The second topic is the calculation of the workspace for a Stewart platform. This paper presents a novel and efficient algorithm that utilizes tensors and inverse kinematics to determine the workspace of the robot. Consequently, this algorithm reduces calculation time by a factor of 27.8, compared to a state-of-the-art algorithm. The evaluation of this case study is conducted through the administration of a student feedback survey, which includes both closed-ended background questions and questions employing a Likert scale.

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Implementing a Stewart Platform in Robotics Education: A Case Study

  • Axel Degrande,
  • Jona Gladines,
  • Sam Van der Jeught,
  • Amélie Chevalier

摘要

This paper investigates the use of a Stewart platform as an effective case study for parallel robots and offers a valuable educational opportunity. While a physical setup may be costly or challenging to construct, other ways exist to implement this concept through written computer programs such as MATLAB. Parallel robots, like a Stewart platform, serve as useful examples of inverse kinematics. It presents a ready-to-use case study for robotics classes. This paper addresses two main topics, the first concerns inverse kinematics, which has already been extensively researched. An overview of the latest developments in inverse kinematics calculations is provided. The second topic is the calculation of the workspace for a Stewart platform. This paper presents a novel and efficient algorithm that utilizes tensors and inverse kinematics to determine the workspace of the robot. Consequently, this algorithm reduces calculation time by a factor of 27.8, compared to a state-of-the-art algorithm. The evaluation of this case study is conducted through the administration of a student feedback survey, which includes both closed-ended background questions and questions employing a Likert scale.