A Validity Measure for Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Iterative learning control: analysis, design, integration and applications
Iterative learning control: analysis, design, integration and applications
Robust self-learning fuzzy controller design for a class of nonlinear MIMO systems
Fuzzy Sets and Systems
An Introduction to Genetic Algorithms
An Introduction to Genetic Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Machine Learning
Intelligent Systems: Architecture, Design, and Control
Intelligent Systems: Architecture, Design, and Control
Neural Fuzzy Control Systems with Structure and Parameter Learning
Neural Fuzzy Control Systems with Structure and Parameter Learning
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Soft Computing and Fuzzy Logic
IEEE Software
Theory and Evaluation of Human Robot Interactions
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 5 - Volume 5
On Intelligence
Image Processing, Analysis, and Machine Vision
Image Processing, Analysis, and Machine Vision
How does the memory work? By timed-arc Petri nets
ICCI '05 Proceedings of the Fourth IEEE International Conference on Cognitive Informatics
Cognitive informatics models of the brain
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A dynamic gesture recognition system for the Korean sign language (KSL)
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Paper: A linguistic self-organizing process controller
Automatica (Journal of IFAC)
A probabilistic fuzzy logic system for modeling and control
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
On cluster validity for the fuzzy c-means model
IEEE Transactions on Fuzzy Systems
Fuzzy min-max neural networks. I. Classification
IEEE Transactions on Neural Networks
Human-robot interaction: a survey
Foundations and Trends in Human-Computer Interaction
Domain knowledge query conversation bots in instant messaging (IM)
Knowledge-Based Systems
Towards an architecture for semiautonomous robot telecontrol systems
Information Sciences: an International Journal
A neural fuzzy framework for system mapping applications
Knowledge-Based Systems
Assessment of adaptive human-robot interactions
Knowledge-Based Systems
Hi-index | 0.00 |
HRI (Human-Robot Interaction) is often frequent and intense in assistive service environment and it is known that realizing human-friendly interaction is a very difficult task because of human presence as a subsystem of the interaction process. After briefly discussing typical HRI models and characteristics of human, we point out that learning aspect would play an important role for designing the interaction process of the human-in-the loop system. We then show that the soft computing toolbox approach, especially with fuzzy set-based learning techniques, can be effectively adopted for modeling human behavior patterns as well as for processing human bio-signals including facial expressions, hand/ body gestures, EMG and so forth. Two project works are briefly described to illustrate how the fuzzy logic-based learning techniques and the soft computing toolbox approach are successfully applied for human-friendly HRI systems. Next, we observe that probabilistic fuzzy rules can handle inconsistent data patterns originated from human, and show that combination of fuzzy logic, fuzzy clustering, and probabilistic reasoning in a single frame leads to an algorithm of iterative fuzzy clustering with supervision. Further, we discuss a possibility of using the algorithm for inductively constructing probabilistic fuzzy rule base in a learning system of a smart home. Finally, we propose a life-long learning system architecture for the HRI type of human-in-the-loop systems.