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Emulation Of Associative Learning in a Humanoid Robot using Artificial Neural Networks

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  • Bhagirathi bai V
  • Tanmay N Deshmukh
  • Kishore R

Abstract

The objective of this paper is to document the development, design, and implementation of a humanoid interface to a robotic implementation of the right human forelimb, the purpose of which is to interact with its environment under programmed instructions by imitating the movements of an arm and engage users in conversations. The arm has 10 Degrees of Freedom in total and weighs 2 kilograms. The software driving this interface is put to action by a microcomputer primarily in the form of a chat-bot which aids in human-robot interaction orally real-time. The areas for future application of this include human-machine interaction in industry & medical, social, & hospitality settings. The necessary mechanisms for arm control and the rest are presented in this paper.

Suggested Citation

  • Bhagirathi bai V & Tanmay N Deshmukh & Kishore R, 2018. "Emulation Of Associative Learning in a Humanoid Robot using Artificial Neural Networks," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 4(6), pages 456-462, May.
    • Handle: RePEc:jbh:ijsrcs:v4:y2018:i6:id:hcseit184686
    Note: Article URL: https://ijsrcseit.com/CSEIT184686
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