Conference Code: 17ZA01ICRLMI
Conference Aims and Objectives
The ICRLMI 2017: 19th International Conference on Robot Learning and Machine Intelligence
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Robot Learning and Machine Intelligence. 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 Robot Learning and Machine Intelligence.
Call for Contributions
All honorable 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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Robot Learning and Machine Intelligence are cordially invited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.WASET
All submitted conference papers will be blind peer reviewed by three competent reviewers. The post conference proceedings will be abstracted and indexed in the International Science Index
, and submitted to be indexed in the
, Scopus and Thomson Reuters. The conference abstracts and proceedings book, CD and certificate of presentation will be distributed to participants at the conference registration desk.
Special Journal Issues
has teamed up with the Special Journal Issue on Robot Learning and Machine Intelligence
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
|Abstracts/Full-Text Paper Submission Deadline
||November 30, 2016
|Notification of Acceptance/Rejection
||December 5, 2016
|Final Paper (Camera Ready) Submission & Early Bird Registration Deadline
||December 10, 2016
||January 12 - 13, 2017
Please ensure your submission meets WASET's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for
Please refer to the Paper Submission GUIDE
before submitting your paper.
Selected Conference Papers
1) A Reinforcement Learning Approach for Evaluation of Real-Time Disaster Relief Demand and Network ConditionAli Nadi, Ali Edrissi 2) sEMG Interface Design for Locomotion IdentificationRohit Gupta, Ravinder Agarwal 3) Experimental Set-Up for Investigation of Fault Diagnosis of a Centrifugal PumpMaamar Ali Saud Al Tobi, Geraint Bevan, K. P. Ramachandran, Peter Wallace, David Harrison 4) Control Strategies for a Robot for Interaction with Children with Autism Spectrum DisorderVinicius Binotte, Guilherme Baldo, Christiane Goulart, Carlos Valadão, Eliete Caldeira, Teodiano Bastos 5) Using Adaptive Pole Placement Control Strategy for Active Steering Safety SystemHadi Adibi-Asl, Alireza Doosthosseini, Amir Taghavipour 6) Building a Scalable Telemetry Based Multiclass Predictive Maintenance Model in RJaya Mathew 7) Relaxing Convergence Constraints in Local Priority Hysteresis Switching LogicMubarak Alhajri 8) Genetic Algorithm Based Deep Learning Parameters Tuning for Robot Object Recognition and GraspingDelowar Hossain, Genci Capi 9) Mining Big Data in Telecommunications Industry: Challenges, Techniques, and Revenue OpportunityHoda A. Abdel Hafez 10) Performance Comparison of Situation-Aware Models for Activating Robot Vacuum Cleaner in a Smart HomeSeongcheol Kwon, Jeongmin Kim, Kwang Ryel Ryu 11) Adaptive Fuzzy Control of a Nonlinear Tank ProcessA. R. Tavakolpour-Saleh, H. Jokar 12) Comparing Emotion Recognition from Voice and Facial Data Using Time Invariant FeaturesVesna Kirandziska, Nevena Ackovska, Ana Madevska Bogdanova 13) From Research to Teaching: Integrating Social Robotics in Engineering DegreesYolanda Bolea, Antoni Grau, Alberto Sanfeliu 14) An Empirical Evaluation of Performance of Machine Learning Techniques on Imbalanced Software Quality DataRuchika Malhotra, Megha Khanna 15) Ubiquitous Life People Informatics Engine (U-Life PIE): Wearable Health Promotion SystemYi-Ping Lo, Shi-Yao Wei, Chih-Chun Ma
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