Results 111 to 120 of about 7,058,297 (259)
Muscle Control of an Extra Robotic Digit
Advanced Robotics Research, EarlyView.This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ +7 more
wiley +1 more source
Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine Learning
IEEE AccessEffective disaster prediction is essential for disaster management and mitigation. This study addresses a multi-classification problem and proposes the Neural-XGBoost disaster prediction model (N-XGB), a hybrid model that combines neural networks (NN ...
Muhammad Asim Saleem +5 more
doaj +1 more source
An empirical study of Chinese students' behavioral intentions to adopt 5G for smart-learning in Covid-19. [PDF]
Smart Learn Environ, 2021 Shah SK, Tang Z, Sharif SMF, Tanveer A.
europepmc +1 more source
Advanced Robotics Research, EarlyView.Here, we present a textile, wearable capacitive interface enabling multidirectional remote control by dynamically modulating electrode overlap and spacing via a freely gliding upper electrode. A forearm‐mounted prototype drives robotic and media tasks with 12–15 ms latency, maintains < 0.8% drift after 500 cycles, and remains stably functional at 90 ...
Cagatay Gumus +8 more
wiley +1 more source
Bow ties quilt by Edna Dickson Smart
, 1940 Image of Bow Ties quilt created in 1940 by Edna Dickson Smart. Also includes questionnaires describing the quilt completed by Geniel Leishman Smart as part of the Utah Quilt Guild\u27s documentation days held from 1988-1994.
Utah Quilt Guild; Smart, Edna Dickson
core
Advanced Robotics Research, EarlyView.This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao +4 more
wiley +1 more source
Smart Learning EnvironmentsDespite the increased adoption of Artificial Intelligence in Education (AIED), several concerns are still associated with it. This has motivated researchers to conduct (systematic) reviews aiming at synthesizing the AIED findings in the literature ...
Muhammad Yasir Mustafa +11 more
doaj +1 more source
Hybrid Continuum Robot Designs and Architectures for Healthcare Applications
Advanced Robotics Research, EarlyView.Hybrid continuum robots represent an emerging class of flexible manipulators that blend materials, structures, and actuation concepts from the established fields of soft and continuum robotics. This review introduces an accessible framework to distinguish key hybridization approaches, surveys current designs aimed at complex clinical applications, and ...
Burak Ozdemir +4 more
wiley +1 more source
A Systematic Review on Robot-Assisted Special Education from the Activity Theory Perspective
Educational Technology & Society, 2020 The design, implementation, and outcome of educational robots in special education have not been sufficiently examined in a systematic way. In particular, learner-based and contextual factors, as well as the essential roles played by various stakeholders
Ahmed Tlili +4 more
doaj
Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots
Advanced Robotics Research, EarlyView.This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou +4 more
wiley +1 more source