Results 111 to 120 of about 247,756 (301)
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi +2 more
wiley +1 more source
This work presents the MicroRoboScope, a highly integrated, compact, and portable microrobotic experimentation platform combining electromagnetic and acoustic actuation with real‐time visual feedback into a single, end‐to‐end device. The system enables closed‐loop control and tracking algorithm experimentation within an accessible and unified hardware ...
Max Sokolich +4 more
wiley +1 more source
How to combine probabilistic and fuzzy uncertainties in fuzzy control [PDF]
Fuzzy control is a methodology that translates natural-language rules, formulated by expert controllers, into the actual control strategy that can be implemented in an automated controller.
Kreinovich, Vladik YA. +2 more
core +1 more source
From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source
A PROPOSAL OF FUZZY MULTIDIMENSIONAL ASSOCIATION RULES
Association rules that involve two or more dimensions or predicates can be referred as multidimensional association rules. Rather than searching for frequent itemsets (as is done in mining single-dimensional association rules), in multidimensional ...
Rolly Intan
doaj
Towards Dynamic Fuzzy Rule Interpolation via Density-Based Rule Promotion from Interpolated Outcomes
Traditional fuzzy rule-based systems struggle with scenarios where knowledge gaps exist in the problem domain, due to limited data or experience. Fuzzy rule interpolation (FRI) effectively addresses the challenge of inference in fuzzy systems when faced ...
Jinle Lin, Changjing Shang, Qiang Shen
doaj +1 more source
Type-II Fuzzy Decision Support System for Fertilizer
Type-II fuzzy sets are used to convey the uncertainties in the membership function of type-I fuzzy sets. Linguistic information in expert rules does not give any information about the geometry of the membership functions.
Ather Ashraf +2 more
doaj +1 more source
Advances in Electroactive Liquid Crystal Elastomers for Intelligent Robotics and Electronics
Electroactive liquid crystal elastomers (eLCEs) integrate molecular anisotropy with electrical functionality to enable programmable actuation and reconfigurable electronics. This review classifies eLCEs into robotic actuators and adaptive electronics, summarizes key actuation mechanisms, and highlights fabrication strategies that bridge materials to ...
Kavita Ramesh Rathod +14 more
wiley +1 more source
Expert supervision of an anti-skid control system of a commercial aircraft [PDF]
A rule-based supervising system that incorporates fuzzy logic has been designed to back-up a conventional anti-skid braking system (ABS). Expressing the expert knowledge about the ABS in terms of linguistic rules, the supervising fuzzy system adapts the ...
Bordeneuve-Guibé, Joël +3 more
core
A DECISION RULE ON FUZZY EVENTS
Summary: Decision-making in real problems is done in a fuzzy environment. Fuzzy- Bayes decision rules have been proposed to cope with the fuzzy state of nature, where it is rather easy to determine the fuzzy loss function, although it is difficult to determine the explicit loss function in a fuzzy environment.
openaire +3 more sources

