Robotics: control, sensing, vision, and intelligence
Robotics: control, sensing, vision, and intelligence
On the sensitivity of membership functions for fuzzy linear programming problems
Fuzzy Sets and Systems
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Adaptive robotic assembly of compliant aero-structure components
Robotics and Computer-Integrated Manufacturing
A technique for time-jerk optimal planning of robot trajectories
Robotics and Computer-Integrated Manufacturing
Comparison of intelligent control planning algorithms for robot's part micro-assembly task
Engineering Applications of Artificial Intelligence
A clustering algorithm for multiple data streams based on spectral component similarity
Information Sciences: an International Journal
The relationship between similarity measure and entropy of intuitionistic fuzzy sets
Information Sciences: an International Journal
Fuzzy logic-based generalized decision theory with imperfect information
Information Sciences: an International Journal
A two-stage evolutionary algorithm based on sensitivity and accuracy for multi-class problems
Information Sciences: an International Journal
Approximations and uncertainty measures in incomplete information systems
Information Sciences: an International Journal
Micro parts assembly system with micro gripper and RCC unit
IEEE Transactions on Robotics
Using entropy measures for comparison of software traces
Information Sciences: an International Journal
An application of multi-criteria decision aids models for Case-Based Reasoning
Information Sciences: an International Journal
Optimal clustering in the context of overlapping cluster analysis
Information Sciences: an International Journal
Artificial cooperative search algorithm for numerical optimization problems
Information Sciences: an International Journal
Similarity and dissimilarity measures between fuzzy sets: A formal relational study
Information Sciences: an International Journal
Can fuzzy entropies be effective measures for evaluating the roughness of a rough set?
Information Sciences: an International Journal
Information Sciences: an International Journal
Entropy measures and granularity measures for set-valued information systems
Information Sciences: an International Journal
Entropy on intuitionistic fuzzy soft sets and on interval-valued fuzzy soft sets
Information Sciences: an International Journal
Information Sciences: an International Journal
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An algorithm for an intelligent jamming region division with machine learning and fuzzy optimization for the control of a robot's part micro-manipulative task is introduced. A comparison with existing works and the advantages of the proposed algorithm in this paper are described. A quasi-static part mating (micro-assembly) is accomplished using a fuzzy coordinator combined with a learning algorithm of the jamming region division while avoiding jamming. Depending on the positional relationships between a part and an assembly hole (target) in a workspace, a specific rule base for avoiding jamming is activated. The region division algorithm merges all adjoining subregions, of which the quad-tuple control values describe similar jamming states, into one region and the weights of the subregions are adjusted. A fuzzy entropy, which is a useful tool for measuring variability and information in terms of uncertainty, is used to measure the degree of uncertainty related to an execution of the part micro-assembly task. A degree of uncertainty associated with a task execution of the part micro-assembly is used as a criterion of optimality, e.g. minimum fuzzy entropy. Through a decision-making procedure, the most appropriate quad-tuple control value with the lowest fuzzy entropy in each region is chosen as a final control value to carry out an assigned task. The proposed technique is applicable to a wide range of the robot's tasks, including choosing and placing operations, manufacturing tasks, part mating with various shaped parts, etc.