Study of Human and Robot Social Interaction Using Artificial Cognition Methods

Authors

  • Rupal Chaudhary  Assistant Professor, Department of Computer Science, Sir Chhotu Ram Institute of Engineering and Technology, C. C. S. University, Uttar Pradesh, India

DOI:

https://doi.org//10.32628/IJSRST207532

Keywords:

Knowledge representation and reasoning, Perspective taking, Cognitive robotics, Cognitive architecture.

Abstract

Abstract. HRI challenges AI in numerous regards: dynamic, somewhat obscure conditions that were not initially intended for robots; a wide scope of circumstances with rich semantics to comprehend and decipher; physical associations with people that require fine, low-inactivity, yet socially satisfactory control systems; regular and multimodal correspondence. This paper is an endeavor to describe these difficulties and to introduce a lot of key dynamic issues that should be tended to for an intellectual robot to effectively impart space and assignments to a person. To begin with, we distinguish the individual and community oriented intellectual aptitudes required: mathematical thinking and circumstance appraisal dependent on point of view taking and cost-adequacy investigation; securing and the article talks about every one of these capacities, presents work executions and shows how they consolidate in a sound and unique human-robot collaboration deliberative design. Fortified by the aftereffects of the preliminary, we should in the long run exhibit how the board's express information, both symbolic and quantitative, is instrumental to more extravagant and more normal human-robot associations by squeezing for certain, human-level semantics inside the robot framework.

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International Journal of Scientific Research in Science and Technology

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Published

2020-05-30

Issue

Volume 7, Issue 3, May-June-2020

Section

Research Articles

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

How to Cite

[1]
Rupal Chaudhary, " Study of Human and Robot Social Interaction Using Artificial Cognition Methods , International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 7, Issue 3, pp.458-464, May-June-2020. Available at doi : https://doi.org/10.32628/IJSRST207532