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

Authors

  • Prof. Bhagirathi bai V  Department of Mechatronics Engineering, Acharya Institute of Technology, Bangalore, Karnataka, India
  • Tanmay N Deshmukh  Department of Mechatronics Engineering, Acharya Institute of Technology, Bangalore, Karnataka, India
  • Kishore R  Department of Mechatronics Engineering, Acharya Institute of Technology, Bangalore, Karnataka, India

Keywords:

Humanoid robot, machine vision, face recognition, chatbot

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.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-05-08

Issue

Volume 4, Issue 6, May-June-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Prof. Bhagirathi bai V, Tanmay N Deshmukh, Kishore R, " Emulation Of Associative Learning in a Humanoid Robot using Artificial Neural Networks, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 6, pp.456-462, May-June-2018.