Design of a Social Robot Interact With Artificial Intelligence by Versatile Control Systems

被引:5
|
作者
Islam, Mohammad Shamim [1 ]
Rahman, Md. Mizanur [1 ]
Muhammad, Ghulam [2 ,3 ]
Hossain, M. Shamim [4 ]
机构
[1] Hajee Mohammad Danesh Sci & Technol Univ HSTU, Dept Elect & Elect Engn, Dinajpur 5200, Bangladesh
[2] King Saud Univ, Dept Comp Engn, Coll Com puter & Informat Sci, Riyadh 11543, Saudi Arabia
[3] King Saud Univ, Res Chair Pervas & Mobile Comp, Riyadh 11543, Saudi Arabia
[4] King Saud Univ, Dept Software Engn, Coll Comp & Informat Sci, Riyadh 11543, Saudi Arabia
关键词
Artificial intelligence; dynamic control system; micro-controller; social robot;
D O I
10.1109/JSEN.2021.3062682
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Robots are a combination of mechatronics,computer science, and artificial intelligence. Robotics is a branch of engineering that involves the conception, design, manufacture, and operation of actions. Whenever a robot has to interact with the human-society, it has to adopt a special skill called Human-Robot Interaction and thus the term Social-Robot comes into account. A social robot has to be able to express emotions, communicate with high-level dialogue, use natural cues, and learn to recognize models of other agents. An autonomous social robot cannot follow orders instead of doing something on its own. To make the robot more interactive and communicative, lots of sensors and modules have to be used along with its moving mechanism. Therefore, a social robot becomes complex and expensive. To overcome the issue of the complexity and costliness, in this paper, a design of social robot using a combination of embedded systems, the Internet of Robotic Things (IORT) and Android operating system has been introduced to be interactive and communicative to human, be intelligent enough to solve complex mathematics and be able to follow the operator's command simultaneously. By using the Internet as the robot's source of information and the Android phone as the robot's sensory and control system partially, and adding them all to the robot's embedded system wirelessly, we have not only become able to make the robot more advanced and intelligent, but also reduce the cost of construction by a significant amount.
引用
收藏
页码:17542 / 17549
页数:8
相关论文
共 50 条
  • [41] ARTIFICIAL SOCIAL INTELLIGENCE
    BAINBRIDGE, WS
    BRENT, EE
    CARLEY, KM
    HEISE, DR
    MACY, MW
    MARKOVSKY, B
    SKVORETZ, J
    ANNUAL REVIEW OF SOCIOLOGY, 1994, 20 : 407 - 436
  • [42] The future of artificial intelligence and digital development: a study of trust in social robot capabilities
    Jiang, Chuntao
    Guan, Xin
    Zhu, Junfan
    Wang, Zeyu
    Xie, Fanbao
    Wang, Weijia
    JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE, 2023,
  • [43] A Systematic Review on Social Sustainability of Artificial Intelligence in Product Design
    Lee, Keeheon
    SUSTAINABILITY, 2021, 13 (05) : 1 - 29
  • [44] Exploring the needs of children and caregivers to inform design of an artificial intelligence-enhanced social robot in the pediatric emergency department
    Nishat, Fareha
    Hudson, Summer
    Panesar, Prabdeep
    Ali, Samina
    Litwin, Sasha
    Zeller, Frauke
    Candelaria, Patricia
    Foster, Mary Ellen
    Stinson, Jennifer
    JOURNAL OF CLINICAL AND TRANSLATIONAL SCIENCE, 2023, 7 (01)
  • [45] RUBY - A versatile and customizable social robot
    Kitzig, Andreas
    Naroska, Edwin
    Ruan, Shanq-Jang
    Weberskirch, Marcus
    Yavuz, Sinan
    2024 IEEE THE 20TH ASIA PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS, APCCAS 2024, 2024, : 311 - 315
  • [46] Generative artificial intelligence and social media: insights for tobacco control
    Kong, Grace
    Ouellette, Rachel R.
    Murthy, Dhiraj
    TOBACCO CONTROL, 2024,
  • [47] Design and Development of Educational Robot Teaching Resources Using Artificial Intelligence Technology
    Huang, Suo
    INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN LEARNING, 2021, 16 (05) : 116 - 129
  • [48] The Reasonable Robot: Artificial Intelligence and the Law
    Chesterman, Simon
    INTERNATIONAL & COMPARATIVE LAW QUARTERLY, 2022, 71 (01) : 264 - 266
  • [49] Artificial Intelligence for Precision Movement Robot
    Lekkala, Kiran Kumar
    Mittal, Inay Kumar
    2ND INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND INTEGRATED NETWORKS (SPIN) 2015, 2015, : 378 - 383
  • [50] Artificial intelligence in the long view: from mechanical intelligence to cyber-social systems
    Cope B.
    Kalantzis M.
    Discover Artificial Intelligence, 2022, 2 (01):