IDEAS home Printed from https://ideas.repec.org/a/tec/techni/ojs2158.html

Robot Arm Teleoperative System Design with Flex Sensor

Author

Listed:
  • Imam Alfianto

    (University of Indonesia)

  • Andi Falih

    (University of Indonesia)

  • Abdul Halim

    (University of Indonesia)

Abstract

With the technology currently available, the hands of the most advanced humanoid robots used in prosthetics or robotics can be very expensive, making them inaccessible to disabled and robotics enthusiasts. Using 3D printing technology, these robotic hands can be mass produced and have the basic functions of a sophisticated and inexpensive expensive hand. The hand robot is controlled using sensor gloves that can read the finger movements and the compressive power of the user's fingers. The flex sensor is a sensor that has a function to detect curvature. The reason I use the flex sensor is because of a need to get motion values ??for the curvature of the fingers. This research consists of selecting a 3D printed hand model, assembling the mechanical and electronic components of the robot arm, making software, testing the robot arm and integrating it with sensors and implementing tele-operations. The robot hand is able to hold 358 grams of load, with an efficiency of only 5.98% compared to the torque output of the actuator. The maximum error for sensor reading is 5.61% and integration is 11.73%.

Suggested Citation

  • Imam Alfianto & Andi Falih & Abdul Halim, 2020. "Robot Arm Teleoperative System Design with Flex Sensor," Technium, Technium Science, vol. 2(7), pages 390-397, December.
  • Handle: RePEc:tec:techni:ojs:2158
    as

    Download full text from publisher

    File URL: https://techniumscience.com/index.php/technium/article/view/2158
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tec:techni:ojs:2158. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ana Maria Golita (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.