Results 161 to 170 of about 853,385 (276)

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

Advanced Robotics Research, EarlyView.
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa, Sota Suzuki, Shizuka Watanabe, Zebing Mao, Young Ah Seong, Toshinori Fujie, Tatsuhiro Horii, Kenjiro Tadakuma, Koichi Suzumori, Hiroyuki Nabae, Shingo Maeda   +10 more
wiley   +1 more source

Remote Control of Hand Actuators via Glove Sensors for Medical Care Applications

Advanced Robotics Research, EarlyView.
This study presents a novel textile‐based sensory glove–actuator system for remote medical care, explored through finite element simulations. By integrating capacitive sensors, pneumatic actuators, and machine learning, the system models real‐time hand movement control.
Bahman Taherkhani, Mahdi Bodaghi
wiley   +1 more source

Effect of Artificial Neural Network Design Parameters for Prediction of PS/TiO₂ Nanofiber Diameter. [PDF]

Polymers (Basel)
Tığlı Aydın RS, Eğilmez F, Kaya C.
europepmc   +1 more source

Elimination of Necking and Aspect Ratio Dependence in Uniaxial Actuators by Continuous Fiber Reinforcement

Advanced Robotics Research, EarlyView.
A novel carbon fiber reinforcement for dielectric elastomer actuators enhances actuation force while decoupling electromechanical performance from the actuator's aspect ratio. Unlike conventional fiber reinforcements, it enables a uniform planar stretch state along the entire actuator.
Markus Koenigsdorff, Stefania Konstantinidi, Anett Endesfelder, Petr Osipov, Johannes Mersch, E.‐F. Markus Vorrath, Martina Zimmermann, Yves Perriard, Gerald Gerlach   +8 more
wiley   +1 more source

Multiobjective Codesign Optimization of a Planar Pneumatic Artificial Muscle‐Based Snake‐Like Robot for Enhanced Agility and Energy Efficiency

Advanced Robotics Research, EarlyView.
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley   +1 more source

Artificial neural network based predictive modeling of viscosity of an oil based hybrid nanofluid. [PDF]

MethodsX
Furqan M, Raees F, Khalid M.
europepmc   +1 more source

Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains

Advanced Robotics Research, EarlyView.
How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao, Yinzhao Dong, Ji Ma, Peng Lu   +3 more
wiley   +1 more source

Artificial Neural Network Approach for Hardness Prediction in High-Entropy Alloys. [PDF]

Materials (Basel)
Nchekwube M, Maurya AK, Chung D, Chang S, Na Y.   +4 more
europepmc   +1 more source

Modulus‐Switchable Miniature Robots for Biomedical Applications: A Review

Advanced Robotics Research, EarlyView.
Materials, robot designs, proof‐of‐concept functions, and biomedical applications of modulus‐switchable miniature robots. Miniature soft robots have shown great potential in biomedical applications due to their excellent controllability and suitable mechanical properties in biological environments.
Chunyun Wei, Yibin Wang, Jiangfan Yu
wiley   +1 more source

Comparative behavior of steam turbine model for dynamical power system analyses by means of multiple fractional and artificial neural network techniques. [PDF]

Sci Rep
Abro KA, Souayeh B, Flah A.
europepmc   +1 more source