Robotic arm control based on human arm motion

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper discusses the development of a robotic arm whereby its motion is controlled based on the movements of the human arm. There are three major components in this project. They are a wearable control device, microcontroller and robotic arm. The wearable control device acts as a sensor to translate the physical movement of the human arm into electrical signals. The translated signals in the form of positional data are sent to the microcontroller unit for processing. The microcontroller unit processes the signals and outputs it to the robotic arm as physical replicated movements. The wearable control device is capable of sensing six degrees of freedom by the human arm joints movements. This includes rotation of the shoulder, arm, bending of the shoulder, elbow, wrist, and gripping motion. The fabricated robotic arm is able to perform six different motions replicating and mimicking the motions of the human arm.

Original languageEnglish
Title of host publication8th International Conference on Robotic, Vision, Signal Processing and Power Applications
Subtitle of host publicationInnovation Excellence Towards Humanistic Technology
PublisherSpringer Verlag
Pages81-88
Number of pages8
ISBN (Print)9789814585415
DOIs
Publication statusPublished - 01 Jan 2014
Event8th International Conference on Robotic, Vision, Signal Processing and Power Applications, RoViSP 2013 - Penang, Malaysia
Duration: 10 Nov 201312 Nov 2013

Publication series

NameLecture Notes in Electrical Engineering
Volume291 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

Other8th International Conference on Robotic, Vision, Signal Processing and Power Applications, RoViSP 2013
CountryMalaysia
CityPenang
Period10/11/1312/11/13

Fingerprint

Robotic arms
Microcontrollers
Chemical reactions
Sensors
Processing

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

Cite this

Dickson Neoh, T. H., Keat, C. W., Anuar, A., & Mohamed Sahari, K. S. (2014). Robotic arm control based on human arm motion. In 8th International Conference on Robotic, Vision, Signal Processing and Power Applications: Innovation Excellence Towards Humanistic Technology (pp. 81-88). (Lecture Notes in Electrical Engineering; Vol. 291 LNEE). Springer Verlag. https://doi.org/10.1007/978-981-4585-42-2_10
Dickson Neoh, Tze How ; Keat, Chan Wai ; Anuar, Adzly ; Mohamed Sahari, Khairul Salleh. / Robotic arm control based on human arm motion. 8th International Conference on Robotic, Vision, Signal Processing and Power Applications: Innovation Excellence Towards Humanistic Technology. Springer Verlag, 2014. pp. 81-88 (Lecture Notes in Electrical Engineering).
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Dickson Neoh, TH, Keat, CW, Anuar, A & Mohamed Sahari, KS 2014, Robotic arm control based on human arm motion. in 8th International Conference on Robotic, Vision, Signal Processing and Power Applications: Innovation Excellence Towards Humanistic Technology. Lecture Notes in Electrical Engineering, vol. 291 LNEE, Springer Verlag, pp. 81-88, 8th International Conference on Robotic, Vision, Signal Processing and Power Applications, RoViSP 2013, Penang, Malaysia, 10/11/13. https://doi.org/10.1007/978-981-4585-42-2_10

Robotic arm control based on human arm motion. / Dickson Neoh, Tze How; Keat, Chan Wai; Anuar, Adzly; Mohamed Sahari, Khairul Salleh.

8th International Conference on Robotic, Vision, Signal Processing and Power Applications: Innovation Excellence Towards Humanistic Technology. Springer Verlag, 2014. p. 81-88 (Lecture Notes in Electrical Engineering; Vol. 291 LNEE).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - This paper discusses the development of a robotic arm whereby its motion is controlled based on the movements of the human arm. There are three major components in this project. They are a wearable control device, microcontroller and robotic arm. The wearable control device acts as a sensor to translate the physical movement of the human arm into electrical signals. The translated signals in the form of positional data are sent to the microcontroller unit for processing. The microcontroller unit processes the signals and outputs it to the robotic arm as physical replicated movements. The wearable control device is capable of sensing six degrees of freedom by the human arm joints movements. This includes rotation of the shoulder, arm, bending of the shoulder, elbow, wrist, and gripping motion. The fabricated robotic arm is able to perform six different motions replicating and mimicking the motions of the human arm.

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Dickson Neoh TH, Keat CW, Anuar A, Mohamed Sahari KS. Robotic arm control based on human arm motion. In 8th International Conference on Robotic, Vision, Signal Processing and Power Applications: Innovation Excellence Towards Humanistic Technology. Springer Verlag. 2014. p. 81-88. (Lecture Notes in Electrical Engineering). https://doi.org/10.1007/978-981-4585-42-2_10