Results 131 to 140 of about 4,708 (304)
Predicting Performance of Hall Effect Ion Source Using Machine Learning
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
Amphibious Robots Locomotion Strategies in Unstructured Complex Environments: A Review
In the previous literature, amphibious robots focused mainly on locomotion in underwater and flat land surface manoeuvring. Few amphibious robots focused on unstructured land environments.
Mohammed Rafeeq +5 more
doaj
CFD-based hydrodynamic analyses of ship manoeuvrability, course keeping control, and seakeeping
Ship manoeuvrability is closely related to the safety of ship operation in a real seaway; therefore, predicting a ship’s manoeuvring performance is of great importance.
Kim, Daejeong
core +1 more source
Microrobotic Catheterization of the Ophthalmic Artery for Targeted Treatment of Retinoblastoma
A microrobotic platform is presented that allows teleoperated and autonomous navigation of flow‐driven magnetic microcatheters, MagFlow, into the ophthalmic artery for superselective intra‐arterial infusion of chemotherapy to treat retinoblastoma. Extensive benchtop validations with patient‐derived biomimetic phantoms under optical and fluoroscopic ...
Artur Banach +5 more
wiley +1 more source
Manoeuvrability of plans of economic systems
Рост масштабов современных производств, усложнение их структур, расширение номен- клатуры производимой продукции, ее быстрой сменяемостью и другими факторами требует перехода к гибким, а следовательно, и к более надежным в отношении достижения целей ...
Померанец, В.Н. +1 more
core
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
GeoTrack: An efficient simulation tool for the analysis of heavy vehicle manoeuvrability [PDF]
Papers Presented at the 2018 37th Southern African Transport Conference 9-12 July 2018 Pretoria, South Africa. Theme "Towards a desired transport future: safe, sufficient and affordable".The road space utilised by a heavy goods vehicle during low-speed ...
De Saxe, C.C., Berman, R.
core
Pre‐Curved Everting Robots With Embedded Steering Intelligence Fabricated by CO2 Laser Welding
Design and experimental demonstration of a laser welded growing robot for anatomically guided navigation. The robot follows an aortic arch phantom entering the branchiocephalic branch through steering by design. The figure shows the physical phantom setup, CAD defined weld geometry and full robot eversion.
Brandon Saldarriaga +5 more
wiley +1 more source
Purpose: Field-based tests are widely used to assess propulsion and sprint performance in wheelchair athletes; however, their ability to discriminate between functional performance profiles associated with different impairment characteristics remains ...
Jordi Sanchez-Grau +4 more
doaj +1 more source
A General Method for the Evaluation of Vehicle Manoeuvrability with Special Emphasis on Motorcycles
This paper presents a novel approach to the assessment of the manoeuvrability of vehicles which is not based on the simulation of open-loop manoeuvres, nor does it rely on the modelling of the driver as a control system.
L. FABBRI +3 more
core

