Results 111 to 120 of about 144,066 (299)
Simulation of Inhomogeneous Refractive Index Fields Induced by Hot Tailored Forming Components
This article presents a simulation model for simulating inhomogeneous refractive index fields (IRIF) in hot‐forged components, accounting for thermal influences and complex geometries. Through this simulation, a priori knowledge about the propagation of the IRIF can be obtained, allowing for the positioning of the component or an optical measurement ...
Pascal Kern+3 more
wiley +1 more source
A Novel Motor Structure with Extended Particle Swarm Optimization for Space Robot Control. [PDF]
Gao H+6 more
europepmc +1 more source
Hybrid materials enable high‐performance components but are challenging to process. This study explores an inductive heating concept with spray cooling for steel–aluminum specimens in a two‐step process including friction welding and cup backward extrusion.
Armin Piwek+7 more
wiley +1 more source
Current Status, Challenges, and Prospects for New Types of Aerial Robots
New types of aerial robots (NTARs) have found extensive applications in the military, civilian contexts, scientific research, disaster management, and various other domains.
Xidong Zhou+5 more
doaj
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
Leg Muscle Activity and Joint Motion during Balance Exercise Using a Newly Developed Weight-Shifting-Based Robot Control System. [PDF]
Yamako G, Ito K, Muraoka T, Chosa E.
europepmc +1 more source
Control de las ruedas delanteras de robots móviles
Fausto Rodrigo Freire Carrera
openalex +2 more sources
Robot Trajectory Tracking with Self-Tuning Predicted Control [PDF]
Xianzhong Cui, Kang G. Shin
openalex +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source
The Hybrid Position/Force Walking Robot Control Using Extenics Theory and Neutrosophic Logic Decision. [PDF]
Gal IA, Ciocîrlan AC, Vlădăreanu L.
europepmc +1 more source