Results 131 to 140 of about 102,660 (317)
An AI‐Enabled All‐In‐One Visual, Proximity, and Tactile Perception Multimodal Sensor
Advanced Robotics Research, EarlyView.Targeting integrated multimodal perception of robots, an AI‐enabled all‐in‐one multimodal sensor is proposed. This sensor is capable of perceiving three types of modalities, including vision, proximity, and tactility. By toggling an ultraviolet light and adjusting the camera focus, it switches smoothly between multiple perceptual modalities, enabling ...
Menghao Pu +7 more
wiley +1 more source
IEEE AccessIn order to improve on traditional fuzzy and picture fuzzy models, this paper presents the disc picture fuzzy set (D-PFS) framework, which includes distinct radius parameters for membership, non-membership, and neutrality.
Peng Zhuo, Lu Jin
doaj +1 more source
Applying Ragin's Crisp and Fuzzy Set QCA to Large Datasets: Social Class and Educational Achievement in the National Child Development Study [PDF]
The paper explores the use of Charles Ragin's Qualitative Comparative Analysis (QCA) in both its crisp and fuzzy set versions in the study of the relations between social class origin, sex, 'ability' and subsequent educational achievement.
Barry Cooper
core
TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications
Advanced Robotics Research, EarlyView.TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince +3 more
wiley +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced Robotics Research, EarlyView.Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Scientific ReportsAddressing uncertainty is paramount in all decision-making scenarios to ensure robust, well-informed outcomes that can adapt to unforeseen changes and risks.
Muhammad Imran Harl +4 more
doaj +1 more source
Learning fuzzy inference systems using an adaptive membership function scheme
, 1996 An adaptive membership function scheme for general additive fuzzy systems is proposed in this paper. The proposed scheme can adapt a proper membership function for any nonlinear input-output mapping, based upon a minimum number of rules and an initial ...
Tsoi A.C., Lotfi, A, Lotfi A., Tsoi, AC
core +1 more source
Advanced Robotics Research, EarlyView.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
Mining a Complete Set of Fuzzy Multiple-Level Rules
, 2012 [[abstract]]Most conventional data-mining algorithms identify relationships among transactions using binary values and find rules at a single-concept level.
Lin, Kuei-Ying +3 more
core
Intuitionistic Fuzzy Subalgebras of Several Types in Sheffer Stroke Hilbert Algebras
Characterizations of an (E, E)-intuitionistic fuzzy subalgebra and an (q(kT,KF), EV q(KT,KF))-intuitionistic fuzzy subalgebra are provided. Given special sets, so called intuitionistic fuzzy E-subsets, intuitionistic fuzzy q-subsets and intuitionistic ...
Rajesh, Neelamegarajan +3 more
core +1 more source