Thermodynamically consistent modeling of granular soils using physics-informed neural networks. [PDF]
Sci RepIrani N, Salimi M, Wichtmann T.
europepmc +1 more source
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 +10 more
wiley +1 more source
Physics-informed neural networks for predicting the surface temperature of carbon fiber reinforced polymers under laser irradiation. [PDF]
Sci RepGao S +6 more
europepmc +1 more source
Training of physics-informed neural networks: a multi-criterion viewpoint
International audiencePartial differential equations (PDEs) are usually solved by numerical methods requiring specific grids and discretisation schemes.
Duvigneau, Régis +2 more
core
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
Short-Dipole Sensor Response Linearization Through Physics-Informed Neural Networks. [PDF]
BioelectromagneticsFasse A +5 more
europepmc +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
Advanced Robotics Research, EarlyView.This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
Unsupervised spectra information extraction using physics-informed neural networks in the presence of non-linearities and multi-agent problems. [PDF]
Sci RepPuleio A, Gaudio P.
europepmc +1 more source
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
Advanced Robotics Research, EarlyView.A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
Trainable embedding quantum physics informed neural networks for solving nonlinear PDEs. [PDF]
Sci RepBerger S, Hosters N, Möller M.
europepmc +1 more source