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ICARRL 2021: 15. International Conference on Advances in Robotics and Robot Learning

时间:2021-01-28 至 2021-01-29

ICARRL 2021: 15. International Conference on Advances in Robotics and Robot Learning
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ICARRL 2021: 15. International Conference on Advances in Robotics and Robot Learning
会议时间:2021-01-28 至 2021-01-29
会议地点: New York, United States,Sydney,Australia 周边酒店预订

发票类型: 不支持开票
参会凭证:其它

门票信息
Participation Type Early Registration Fees Registration Fees
Non-Student Oral/Poster Presenter Registration € 450 € 500
Student Oral/Poster Presenter Registration € 350 € 400
Listener Registration € 250 € 300
Additional Paper Publication € 100
会议介绍

The International Research Conference Aims and Objectives

The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations. With its high quality, it provides an exceptional value for students, academics and industry researchers.

ICARRL 2021: 15. International Conference on Advances in Robotics and Robot Learning aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Advances in Robotics and Robot Learning. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Advances in Robotics and Robot Learning

Call for Contributions

Prospective authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters. Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Advances in Robotics and Robot Learning are cordially invited for presentation at the conference. The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of novel research materials.

Guidelines for Authors

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission Guideline, Abstract Submission Guideline and Author Information before submitting your paper.

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the Open Science Index, Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICARRL 2021 has teamed up with the Special Journal Issue on Advances in Robotics and Robot Learning. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Selected Papers

  1. Real-Time Episodic Memory Construction for Optimal Action Selection in Cognitive Robotics
    Deon de Jager, Yahya Zweiri, Dimitrios Makris
  2. Machine Learning Techniques in Bank Credit Analysis
    Fernanda M. Assef, Maria Teresinha A. Steiner
  3. Lung Cancer Detection and Multi Level Classification Using Discrete Wavelet Transform Approach
    V. Veeraprathap, G. S. Harish, G. Narendra Kumar
  4. Automatic Number Plate Recognition System Based on Deep Learning
    T. Damak, O. Kriaa, A. Baccar, M. A. Ben Ayed, N. Masmoudi
  5. A Neuroscience-Based Learning Technique: Framework and Application to STEM
    Dante J. Dorantes-González, Aldrin Balsa-Yepes
  6. Speaker Recognition Using LIRA Neural Networks
    Nestor A. Garcia Fragoso, Tetyana Baydyk, Ernst Kussul
  7. An iTunes U App for Development of Metacognition Skills Delivered in the Enrichment Program Offered to Gifted Students at the Secondary Level
    Maha Awad M. Almuttairi
  8. Logistic Model Tree and Expectation-Maximization for Pollen Recognition and Grouping
    Endrick Barnacin, Jean-Luc Henry, Jack Molinié, Jimmy Nagau, Hélène Delatte, Gérard Lebreton
  9. Classifying Turbomachinery Blade Mode Shapes Using Artificial Neural Networks
    Ismail Abubakar, Hamid Mehrabi, Reg Morton
  10. Two Concurrent Convolution Neural Networks TC*CNN Model for Face Recognition Using Edge
    T. Alghamdi, G. Alaghband
  11. Vision-Based Daily Routine Recognition for Healthcare with Transfer Learning
    Bruce X. B. Yu, Yan Liu, Keith C. C. Chan
  12. GRCNN: Graph Recognition Convolutional Neural Network for Synthesizing Programs from Flow Charts
    Lin Cheng, Zijiang Yang
  13. An Exploratory Survey Questionnaire to Understand What Emotions Are Important and Difficult to Communicate for People with Dysarthria and Their Methodology of Communicating
    Lubna Alhinti, Heidi Christensen, Stuart Cunningham
  14. Gaze Patterns of Skilled and Unskilled Sight Readers Focusing on the Cognitive Processes Involved in Reading Key and Time Signatures
    J. F. Viljoen, Catherine Foxcroft
  15. A Study of the Trade-off Energy Consumption-Performance-Schedulability for DVFS Multicore Systems
    Jalil Boudjadar
Jessica Marjorie Black Boston College, US
Wei Zhang University of Virginia, US
Anindita Sarkar Salk Institute For Biological Studies, US
Naga Usha Gayathri Lokala Wright State University, US
Padmanabhan Pattabiraman Duke University, US
Qin Li University of Alabama at Birmingham, US
Sabah Ansar KSU, US
Winifred Newman Florida International Univ, US
Teresa Coffman University of Mary Washington, US
Ali M. Reza US Coast Guard Academy, US
Lei Shi Howard Hughes Medical Insitute, Janelia Campus, US
Irawan Satriotomo University of Wisconsin, US
Qingguang Jiang Johns Hopkins University, US
Mengyu Qiao New Mexico Institute of Mining and Technology, US
Rory Lewis University of Colorado at Colorado Springs, US
Jung Hun Oh Washington University in St. Louis, US
Kevin (Jiancheng) Jia International Game Technology, US
george stelmach arizona state university, US
Jacqueline Fairley Emory University, US
Huanjing Wang Western Kentucky University, US
Hongjun Jia The Ohio State University, US
Yanhui Guo Utah State University, US
Hossein Tahani New Mexico Highlands University, US
Feng Niu Automated Precision Inc., US
Jiawei Xu Lincoln University, UK
Gurvinder Singh Baicher University of Wales, Newport, UK
Mohammed Rezaul Karim Guildhall College, UK
Chee Seng Chan University of Portsmouth, UK
Ayaz Keerio University of Sussex, UK
Chi Wee Tan Tunku Abdul Rahman University College, MY
会议日程
Abstracts/Full-Text Paper Submission Deadline   December 15, 2020
Notification of Acceptance/Rejection   December 30, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   December 26, 2020
Conference Dates   January 28-29, 2021
参会指南
会议地点
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