Thursday 20 June 2019

Call for Papers: RiTA 2019

The 7th International Conference on Robot Intelligence Technology and Applications (RiTA 2019)
November 1 - 3, 2019
KAIST, Daejeon, KOREA
2019.icrita.org

The 7th International Conference on Robot Intelligence Technology and Applications (RiTA 2019) will take place on 1 – 3 November 2019 in conjunction with the 2nd AI World Cup 2019 at KAIST, Daejeon, KOREA. The theme of this year’s conference is: “Intelligent robots in daily life:  helping, entertaining and competing”. As robot intelligence improves we will have more robots to help us at home and at work. They will also entertain and comfort us and even help to educate our children at school. This conference will present the latest research results and applications in the field of robot intelligence. Researchers from around the world will share their knowledge and experience in artificial intelligence and robotics. The conference is an excellent opportunity for in-depth discussions and social networking with other researchers.

CONFERENCE SCOPE
  • Cognitive Intelligence
  • Social Intelligence
  • Ambient Intelligence
  • Collective Intelligence
  • Genetic Intelligence
  • Artificial Intelligence 
  • Applications

IMPORTANT DATES
  • July 15, 2019: Deadline of Paper Submission
  • August 31, 2019: Notification of Acceptance
  • September 30, 2019: Final Paper Submission Due

PUBLICATIONS
Accepted and presented papers will be published in the Conference Proceedings and submitted to IEEE Xplore® online digital library.

JOINT EVENT – AIWC 2019
Artificial Intelligence World Cup (AIWC) 2019 will be co-located with the RiTA 2019. It is the first world-wide competition of on-line soccer teams simulated by AI, held every year. AI World Cup provides an ambitious and technologically versatile platform to prove AI excellence of participants, and is open to a number of international teams. AI World Cup aims to inspire the future of AI technology through innovative solutions and technological competence. For more information, visit the website, aiworldcup.org.

TECHNICAL CO-SPONSOR: IEEE Computational Intelligence Society (CIS)

Organized by:
  • Institute of Control, Robotics and Systems (ICROS)
  • Korea Advanced Institute of Science and Technology (KAIST)
  • Machine Intelligence and Robotics Multi-Sponsored Research and Education Platform (MIR-MSREP)

RiTA 2019 Secretariat
rita@icrita.org
2019.icrita.org

Sunday 16 June 2019

IEEE Transactions on Cognitive and Developmental Systems, Vol.11, No.2, Jun. 2019

1. Guest Editorial Neuro-Robotics Systems: Sensing, Cognition, Learning, and Control
Authors: Z. Li, F. Chen, A. Bicchi, Y. Sun and T. Fukuda
Pages: 145-147

2. Combined Sensing, Cognition, Learning, and Control for Developing Future Neuro-Robotics Systems: A Survey
Authors: J. Li, Z. Li, F. Chen, A. Bicchi, Y. Sun and T. Fukuda
Pages: 148-161

3. Multimodal Human Hand Motion Sensing and Analysis—A Review
Authors: Y. Xue, Z. Ju, K. Xiang, J. Chen and H. Liu
Pages: 162-175

4. Active Visual-Tactile Cross-Modal Matching
Authors: H. Liu, F. Wang, F. Sun and X. Zhang,
Pages: 176-187

5. Fused Fuzzy Petri Nets: A Shared Control Method for Brain–Computer Interface Systems
Authors: F. Sun, W. Zhang, J. Chen, H. Wu, C. Tan and W. Su
Pages: 188-199

6. Bio-Inspired Equilibrium Point Control Scheme for Quadrupedal Locomotion
Authors: Y. Shi, P. Wang, X. Wang, F. Zha, Z. Jiang, W. Guo, and M. Li
Pages: 200-209

7. Episodic Memory Multimodal Learning for Robot Sensorimotor Map Building and Navigation
Authors: W. H. Chin, Y. Toda, N. Kubota, C. K. Loo and M. Seera
Pages: 210-220

8. An Initiative Service Method Based on Fuzzy Analytical Hierarchy Process and Context Intention Inference for Drinking Service Robot
Authors: M. Hao, W. Cao, M. Wu, Z. Liu and S. Li
Pages: 221-233

9. Fuzzy Linguistic Odor Cognition for Robotics Olfaction
Authors: D. Yan, H. Cao, P. Zhang and S. Yang,
Pages: 234-243

10. Evolving a Sensory–Motor Interconnection Structure for Adaptive Biped Robot Locomotion
Authors: A. A. Saputra, J. Botzheim and N. Kubota
Pages: 244-256

11. Regrasp Planning Using Stable Object Poses Supported by Complex Structures
Authors: J. Ma, W. Wan, K. Harada, Q. Zhu and H. Liu
Pages: 257-269
 
12.
Using High-Frequency Local Field Potentials From Multicortex to Decode Reaching and Grasping Movements in Monkey
Authors: P. Zhang , J. Huang, W. Li, X. Ma, P. Yang, J. Dai, and J. He
Pages: 270-280

13. Biologically Inspired Motion Modeling and Neural Control for Robot Learning From Demonstrations
Authors: C. Yang, C. Chen, N. Wang, Z. Ju, J. Fu and M. Wang
Pages: 281-291

14. A Reinforcement Learning Architecture That Transfers Knowledge Between Skills When Solving Multiple Tasks
Authors: P. Tommasino, D. Caligiore, M. Mirolli and G. Baldassarre
Pages: 292-317

Saturday 15 June 2019

Call for Participation: FUZZ-IEEE 2019

Call for Participation

FUZZ-IEEE 2019

JW Marriott New Orleans

June 23-26,2019

On behalf of the FUZZ-IEEE 2019 Organizing Committee, it is our greatest pleasure to invite you to the 2019 IEEE Conference on Fuzzy Systems which will be held June 23-26, 2019 in the magnificent city of New Orleans, Louisiana, USA.

More Information : https://attend.ieee.org/fuzzieee-2019/

Monday 10 June 2019

CALL FOR PARTICIPATION: 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics

9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob 2019)

Web page: https://icdl-epirob2019.org

We think we have put together an exiting program with keynotes, oral and poster paper presentations and workshops as seen in the Preliminary Program: https://icdl-epirob2019.org/program/
 
Keynote Speakers

  • Prof. Aude Billard, École Polytechnique Fédérale de Lausanne, Switzerland
  • Prof. Hod Lipson, Columbia University, USA
  • Prof. Michael J. Frank, Brown University, USA
  • Prof. Stefanie Höhl, University of Vienna, Austria
See: https://icdl-epirob2019.org/keynotes

Registration at reduced fees until June 16: https://icdl-epirob2019.org/registration/

Overview
ICDL-EpiRob is a unique conference gathering researchers from computer science, robotics, psychology and developmental studies to share knowledge and research on how intelligent biological and artificial systems develop sensing, reasoning and actions. This includes development of cognitive and social abilities through dynamic interactions with their physical and social environments. This is with a twofold objective: to gain a better understanding of human and animal intelligence, and to enable artificial systems with more adaptive and flexible behaviors.

This will be the ninth time the conference is organized, and we invite submissions for the conference in 2019 to explore, extend, and  consolidate the interdisciplinary boundaries of this exciting research field.

Scope and  Topics
Topics of interest include (but are not limited to):
  • principles and theories of development and learning;
  • development of skills in biological systems and robots;
  • nature vs nurture, developmental stages;
  • models on the contributions of interaction to learning
  • models on active learning
  • architectures for lifelong learning;
  • emergence of body and affordance perception;
  • analysis and modelling of human motion and state
  • models for prediction, planning and problem solving;
  • models of human-human and human-robot interaction;
  • emergence of verbal and non-verbal communication;
  • epistemological foundations and philosophical issues;
  • robot prototyping of human and animal skills
  • ethics in computational intelligence and robotics

Organizing committee

General  chairs: Jim Torresen (University of Oslo, Norway) and Kerstin Dautenhahn (University of Waterloo, Canada/University of Hertfordshire, UK)

Program chairs:  Kai Olav Ellefsen (University of Oslo) and Katharina J. Rohlfing (Paderborn University, Germany)

Finance / Website Chairs: Kyrre Glette and Charles Martin (University of Oslo)

Publicity  chairs: Bruno  Castro da Silva (UFRGS, Brazil), Kazi Shah Nawaz Ripon (NTNU, Norway) and Ryo Kurazume (Kyushu University, Japan)

Bridge chair:  Tetsuya Ogata (Waseda University, Japan) and Emre Ugur (Bogazici University, Turkey)

Local chairs:  Bruno Laeng and Tor Endestad (University of Oslo)

We would very like to welcome you and hope to see you in Oslo in August.

Best regards from the organising committee,

Bruno  Castro da Silva, Kazi Shah Nawaz Ripon and Ryo Kurazume (Publicity chairs)
Kai Olav Ellefsen and Katharina J. Rohlfing (Program chairs)
Jim Torresen and Kerstin Dautenhahn (General  chairs)

Sunday 2 June 2019

IEEE Transactions on Emerging Topics in Computational Intelligence, Volume 3, Number 3, June 2019

1. Guest Editorial: Special Issue on Computational Intelligence for Smart Energy Applications to Smart Cities
Author(s): Wei-Yu Chiu ; Hongjian Sun ; Chao Wang ; Athanasios Vasilakos
Pages: 173 - 176

2. Collaborative Energy Management for a Residential Community: A Non-Cooperative and Evolutionary Approach
Author(s): Batchu Rajasekhar ; Naran Pindoriya ; Wayes Tushar ; Chau Yuen
Pages: 177 - 192

3. ANFIS Microgrid Energy Management System Synthesis by Hyperplane Clustering Supported by Neurofuzzy Min–Max Classifier
Author(s): Stefano Leonori ; Alessio Martino ; Fabio Massimo Frattale Mascioli ; Antonello Rizzi
Pages: 193 - 204

4. Blockchain and Computational Intelligence Inspired Incentive-Compatible Demand Response in Internet of Electric Vehicles
Author(s): Zhenyu Zhou ; Bingchen Wang ; Yufei Guo ; Yan Zhang
Pages: 205 - 216

5. Joint Energy and QoS-Aware Memetic-Based Scheduling for M2M Communications in LTE-M
Author(s): Samir Dawaliby ; Abbas Bradai ; Yannis Pousset ; Christian Chatellier
Pages: 217 - 229

6. New Shades of the Vehicle Routing Problem: Emerging Problem Formulations and Computational Intelligence Solution Methods
Author(s): Jacek Mańdziuk
Pages: 230 - 244

7. Hemodynamic Analysis for Cognitive Load Assessment and Classification in Motor Learning Tasks Using Type-2 Fuzzy Sets
Author(s): Lidia Ghosh ; Amit Konar ; Pratyusha Rakshit ; Atulya K. Nagar
Pages: 245 - 260

8. Handwriting Trajectory Reconstruction Using Low-Cost IMU
Author(s): Tse-Yu Pan ; Chih-Hsuan Kuo ; Hou-Tim Liu ; Min-Chun Hu
Pages: 261 - 270

9. Computational Intelligence in Automatic Face Age Estimation: A Survey
Author(s): Omaima FathElrahman Osman ; Moi Hoon Yap
Pages: 271 - 285

IEEE Transactions on Fuzzy Systems, Volume 27, Number 6, June 2019

1. Indirect Adaptive Fuzzy Control Design With Guaranteed Tracking Error Performance For Uncertain Canonical Nonlinear Systems
Author(s): Guanyu Lai ; Yun Zhang ; Zhi Liu ; C. L. Philip Chen
Pages: 1139 - 1150

2. Bisimilarity in Fuzzy Description Logics Under the Zadeh Semantics
Author(s): Linh Anh Nguyen
Pages: 1151 - 1161

3. Multiview Fuzzy Logic System With the Cooperation Between Visible and Hidden Views
Author(s): Te Zhang ; Zhaohong Deng ; Dongrui Wu ; Shitong Wang
Pages: 1162 - 1173

4. A Multi-Agent Architecture for the Design of Hierarchical Interval Type-2 Beta Fuzzy System
Author(s): Yosra Jarraya ; Souhir Bouaziz ; Hani Hagras ; Adel M. Alimi
Pages: 1174 - 1188

5. Analysis of the Fuzzy Economic Production Lot Size Inventory Problem Without an Explicit Membership Function
Author(s): Shih-Pin Chen ; Yu-Wen Chen
Pages: 1189 - 1200

6. Observer-Based Event-Triggered Adaptive Decentralized Fuzzy Control for Nonlinear Large-Scale Systems
Author(s): Liang Cao ; Hongyi Li ; Ning Wang ; Qi Zhou
Pages: 1201 - 1214

7. Event-Triggered Fuzzy Filtering for Nonlinear Dynamic Systems via Reduced-Order Approach
Author(s): Xiaojie Su ; Yao Wen ; Peng Shi ; Hak-Keung Lam
Pages: 1215 - 1225

8. On Convergence of the Class Membership Estimator in Fuzzy k-Nearest Neighbor Classifier
Author(s): Imon Banerjee ; Sankha Subhra Mullick ; Swagatam Das
Pages: 1226 - 1236

9. A Constrained Representation Theorem for Well-Shaped Interval Type-2 Fuzzy Sets, and the Corresponding Constrained Uncertainty Measures
Author(s): Dongrui Wu ; Hai-Tao Zhang ; Jian Huang
Pages: 1237 - 1251

10. A Fuzzy Multilayer Assessment Method for EFQM
Author(s): Jay Daniel ; Mohsen Naderpour ; Chin-Teng Lin
Pages: 1252 - 1262

11. Stabilization of Chaotic Systems With T–S Fuzzy Model and Nonuniform Sampling: A Switched Fuzzy Control Approach
Author(s): Xin Wang ; Ju H. Park ; Kun She ; Shouming Zhong ; Lin Shi
Pages: 1263 - 1271

12. Controlling Uncertain Swarm Mechanical Systems: A β-Measure-Based Approach
Author(s): Xiaomin Zhao ; Ye-Hwa Chen ; Fangfang Dong ; Han Zhao
Pages: 1272 - 1285

13. A Variable Neighborhood Search Algorithm for Solving Fuzzy Number Linear Programming Problems Using Modified Kerre's Method
Author(s): Reza Ghanbari ; Khatere Ghorbani-Moghadam ; Nezam Mahdavi-Amiri
Pages: 1286 - 1294

14. Robust Fuzzy Predictive Control for Automatic Train Regulation in High-Frequency Metro Lines
Author(s): Xi Wang ; Shukai Li ; Shuai Su ; Tao Tang
Pages: 1295 - 1308

15. Melting Probability Measure With OWA Operator to Generate Fuzzy Measure: The Crescent Method
Author(s): LeSheng Jin ; Radko Mesiar ; Ronald R. Yager
Pages: 1309 - 1316

16. A Space Efficient Minimum Spanning Tree Approach to the Fuzzy Joint Points Clustering Algorithm
Author(s): Can Atilgan ; Efendi N. Nasibov
Pages: 1317 - 1322

Saturday 1 June 2019

IEEE Transactions on Evolutionary Computation, Volume 23, Issue 3, June 2019

1. Evolutionary Many-Objective Optimization Based on Dynamical Decomposition
Author(s): Xiaoyu He ; Yuren Zhou ; Zefeng Chen ; Qingfu Zhang
Pages: 361 - 375

2. Learning to Decompose: A Paradigm for Decomposition-Based Multiobjective Optimization
Author(s): Mengyuan Wu ; Ke Li ; Sam Kwong ; Qingfu Zhang ; Jun Zhang
Pages: 376 - 390

3. A Clustering-Based Evolutionary Algorithm for Many-Objective Optimization Problems
Author(s): Qiuzhen Lin ; Songbai Liu ; Ka-Chun Wong ; Maoguo Gong ; Carlos A. Coello Coello ; Jianyong Chen ; Jun Zhang
Pages: 391 - 405

4. Memetic Evolution for Generic Full-Body Inverse Kinematics in Robotics and Animation
Author(s): Sebastian Starke ; Norman Hendrich ; Jianwei Zhang
Pages: 406 - 420

5. A Survey on Cooperative Co-Evolutionary Algorithms
Author(s): Xiaoliang Ma ; Xiaodong Li ; Qingfu Zhang ; Ke Tang ; Zhengping Liang ; Weixin Xie ; Zexuan Zhu
Pages: 421 - 441

6. Data-Driven Evolutionary Optimization: An Overview and Case Studies
Author(s): Yaochu Jin ; Handing Wang ; Tinkle Chugh ; Dan Guo ; Kaisa Miettinen
Pages: 442 - 458

7. Multiobjective Infill Criterion Driven Gaussian Process-Assisted Particle Swarm Optimization of High-Dimensional Expensive Problems
Author(s): Jie Tian ; Ying Tan ; Jianchao Zeng ; Chaoli Sun ; Yaochu Jin
Pages: 459 - 472

8. Variable-Length Particle Swarm Optimization for Feature Selection on High-Dimensional Classification
Author(s): Binh Tran ; Bing Xue ; Mengjie Zhang
Pages: 473 - 487

9. Improving Generalization of Genetic Programming for Symbolic Regression With Angle-Driven Geometric Semantic Operators
Author(s): Qi Chen ; Bing Xue ; Mengjie Zhang
Pages: 488 - 502

10. Multiphase Balance of Diversity and Convergence in Multiobjective Optimization
Author(s): Haitham Seada ; Mohamed Abouhawwash ; Kalyanmoy Deb
Pages: 503 - 513

11. A Covariance Matrix Self-Adaptation Evolution Strategy for Optimization Under Linear Constraints
Author(s): Patrick Spettel ; Hans-Georg Beyer ; Michael Hellwig
Pages: 514 - 524

12. A Scalable Indicator-Based Evolutionary Algorithm for Large-Scale Multiobjective Optimization
Author(s): Wenjing Hong ; Ke Tang ; Aimin Zhou ; Hisao Ishibuchi ; Xin Yao
Pages: 525 - 537

IEEE Transactions on Neural Networks and Learning Systems, Volume 30, Issue 6, June 2019.

1. On the Universality of Memcomputing Machines
Author(s): Yan Ru Pei; Fabio L. Traversa; Massimiliano Di Ventra
Pages: 1610 - 1620

2. Spatio-Temporal Interpolated Echo State Network for Meteorological Series Prediction
Author(s): Meiling Xu; Yuanzhe Yang; Min Han; Tie Qiu; Hongfei Lin
Pages: 1621 - 1634

3. Exploiting Generalization in the Subspaces for Faster Model-Based Reinforcement Learning
Author(s): Maryam Hashemzadeh; Reshad Hosseini; Majid Nili Ahmadabadi
Pages: 1635 - 1650

4. Event-Sampled Output Feedback Control of Robot Manipulators Using Neural Networks
Author(s): Vignesh Narayanan; Sarangapani Jagannathan; Kannan Ramkumar
Pages: 1651 - 1658

5. A Nonconvex Relaxation Approach to Low-Rank Tensor Completion
Author(s): Xiongjun Zhang
Pages: 1659 - 1671

6. Coupled Neural P Systems
Author(s): Hong Peng; Jun Wang
Pages: 1672 - 1682

7. Axially Symmetric Data Clustering Through Dirichlet Process Mixture Models of Watson Distributions
Author(s): Wentao Fan; Nizar Bouguila; Ji-Xiang Du; Xin Liu
Pages: 1683 - 1694

8. Finite-Horizon l2−l∞ Synchronization for Time-Varying Markovian Jump Neural Networks Under Mixed-Type Attacks: Observer-Based Case
Author(s): Yong Xu; Jun-Yi Li; Renquan Lu; Chang Liu; Yuanqing Wu
Pages: 1695 - 1704

9. Training Lightweight Deep Convolutional Neural Networks Using Bag-of-Features Pooling
Author(s): Nikolaos Passalis; Anastasios Tefas
Pages: 1705 - 1715

10. The State Following Approximation Method
Author(s): Joel A. Rosenfeld; Rushikesh Kamalapurkar; Warren E. Dixon
Pages: 1716 - 1730

11. Data Augmentation-Based Joint Learning for Heterogeneous Face Recognition
Author(s): Bing Cao; Nannan Wang; Jie Li; Xinbo Gao
Pages: 1731 - 1743

12. Attention Inspiring Receptive-Fields Network for Learning Invariant Representations
Author(s): Lu Yang; Qing Song; Yingqi Wu; Mengjie Hu
Pages: 1744 - 1755

13. Adaptive Neural Control for MIMO Pure-Feedback Nonlinear Systems With Periodic Disturbances
Author(s): Renwei Zuo; Xinmin Dong; Yongzhi Liu; Zongcheng Liu; Wenqian Zhang
Pages: 1756 - 1767

14. Deep Transfer Low-Rank Coding for Cross-Domain Learning
Author(s): Zhengming Ding; Yun Fu
Pages: 1768 - 1779

15. Finite-Time Distributed Average Tracking for Second-Order Nonlinear Systems
Author(s): Yu Zhao; Yongfang Liu; Guanghui Wen; Tingwen Huang
Pages: 1780 - 1789

16. Maximum Likelihood Estimation-Based Joint Sparse Representation for the Classification of Hyperspectral Remote Sensing Images
Author(s): Jiangtao Peng; Luoqing Li; Yuan Yan Tang
Pages: 1790 - 1802

17. Feature Extraction for Incomplete Data Via Low-Rank Tensor Decomposition With Feature Regularization
Author(s): Qiquan Shi; Yiu-Ming Cheung; Qibin Zhao; Haiping Lu
Pages: 1803 - 1817

18. Eigenfunction-Based Multitask Learning in a Reproducing Kernel Hilbert Space
Author(s): Xinmei Tian; Ya Li; Tongliang Liu; Xinchao Wang; Dacheng Tao
Pages: 1818 - 1830

19. Stable and Efficient Policy Evaluation
Author(s): Daoming Lyu; Bo Liu; Matthieu Geist; Wen Dong; Saad Biaz; Qi Wang
Pages: 1831 - 1840

20. Nonfragile Dissipative Synchronization for Markovian Memristive Neural Networks: A Gain-Scheduled Control Scheme
Author(s): Hao Shen; Ting Wang; Jinde Cao; Guoping Lu; Yongduan Song; Tingwen Huang
Pages: 1841 - 1853

21. Global Exponential Stability and Synchronization for Discrete-Time Inertial Neural Networks With Time Delays: A Timescale Approach
Author(s): Qiang Xiao; Tingwen Huang; Zhigang Zeng
Pages: 1854 - 1866

22. Multidimensional Balance-Based Cluster Boundary Detection for High-Dimensional Data
Author(s): Xiaofeng Cao; Baozhi Qiu; Xiangli Li; Zenglin Shi; Guandong Xu; Jianliang Xu
Pages: 1867 - 1880

23. Model Order Reduction Based on Agglomerative Hierarchical Clustering
Author(s): Seaar Al-Dabooni; Donald Wunsch
Pages: 1881 - 1895

24. Toward Resolution-Invariant Person Reidentification via Projective Dictionary Learning
Author(s): Kai Li; Zhengming Ding; Sheng Li; Yun Fu
Pages: 1896 - 1907

25. Convergence Conditions for Solving Robust Iterative Learning Control Problems Under Nonrepetitive Model Uncertainties
Author(s): Deyuan Meng
Pages: 1908 - 1919

26. Weighted p-Bits for FPGA Implementation of Probabilistic Circuits
Author(s): Ahmed Zeeshan Pervaiz; Brian M. Sutton; Lakshmi Anirudh Ghantasala; Kerem Y. Camsari
Pages: 1920 - 1926