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

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