TY - GEN
T1 - Bridging the Gap between Robotic Applications and Computational Intelligence in Domestic Robotics
AU - Zhong, Junpei
AU - Han, Ting
AU - Lotfi, Ahmad
AU - Cangelosi, Angelo
AU - Liu, Xiaofeng
N1 - Funding Information:
TH is supported by a project commissioned by the New Energy and Industrial Technology Development Organization (NEDO). XF is supported by the Key Research and Development Program of Jiangsu under grants BE2017071, BE2017647 and BE2018004-04, the Projects of International Cooperation and Exchanges of Changzhou under grant CZ20170018, the Fundamental Research Funds for the Central Universities under grant 2018B47114, the Open Research Fund of State Key Laboratory of Bioelectronics, Southeast University under grant 2019005, and the State Key Laboratory of Integrated Management of Pest Insects and Rodents under grant IPM1914.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - With the speedy development of hardware (e.g., high performance computing, smaller and cheaper sensors) and software (e.g., deep learning techniques and interaction technologies), robotic products and IoT devices have gradually become accessible to household users. Typical application scenarios of domestic robots include: 1) Providing physical assistance such as floor vacuuming; 2) Providing social assistance to answer questions; and 3) Providing education and cognitive assistance such as offering partnerships. In this paper, we provide a brief overview of available domestic robots, particularly focusing on the services they provide and corresponding computational techniques incorporated in these services. We first provide an overview of available commercial domestic robots and state- of-the-art computational intelligence techniques, then discuss the gap between current robotic systems and advanced computational techniques. Finally, we analyze what are the next developmental stages for these techniques with the emergence and development of the domestic robotic platforms.
AB - With the speedy development of hardware (e.g., high performance computing, smaller and cheaper sensors) and software (e.g., deep learning techniques and interaction technologies), robotic products and IoT devices have gradually become accessible to household users. Typical application scenarios of domestic robots include: 1) Providing physical assistance such as floor vacuuming; 2) Providing social assistance to answer questions; and 3) Providing education and cognitive assistance such as offering partnerships. In this paper, we provide a brief overview of available domestic robots, particularly focusing on the services they provide and corresponding computational techniques incorporated in these services. We first provide an overview of available commercial domestic robots and state- of-the-art computational intelligence techniques, then discuss the gap between current robotic systems and advanced computational techniques. Finally, we analyze what are the next developmental stages for these techniques with the emergence and development of the domestic robotic platforms.
KW - domestic robotics
KW - intelligent robotics
KW - interactive robotics
KW - machine learning
KW - service robotics.
KW - smart Home
UR - http://www.scopus.com/inward/record.url?scp=85080940112&partnerID=8YFLogxK
U2 - 10.1109/SSCI44817.2019.9002883
DO - 10.1109/SSCI44817.2019.9002883
M3 - Conference article published in proceeding or book
AN - SCOPUS:85080940112
T3 - 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019
SP - 1445
EP - 1452
BT - 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019
Y2 - 6 December 2019 through 9 December 2019
ER -