Results 181 to 190 of about 121,074 (289)
Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang +5 more
wiley +1 more source
Segmentation for Learning Adsorption Patterns and Residence-Time Kinetics on Amorphous Surfaces. [PDF]
Turchi M, Lunati I.
europepmc +1 more source
Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling
This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou +4 more
wiley +1 more source
Determining disease attributes from epidemic trajectories. [PDF]
Rast MP, Rast LI.
europepmc +1 more source
Grip and Grasp: Lizard Claw Inspired Robotic Manipulators
Our study identifies the most effective lizard claw shape for use as an end effector in a bioinspired robotic manipulator. By examining key geometric features and combining them into comparative indices, the Crotaphytus collaris claw is found to be the best fit.
Hyeon Lee +4 more
wiley +1 more source
RUL prediction method based on sequential health index evaluation with multidimensional coupled degradation data. [PDF]
Han F, Mo B.
europepmc +1 more source
A Plug‐and‐Play Volume Minimizing Micromixer
ABSTRACT Microscale fluid mixing has numerous applications where rapid and efficient mixing is required, including drug discovery, bio‐analysis and point‐of‐care diagnostics. Conventional soft lithography processes, however, make the integration of robust and reliable mixing difficult to implement in practice, especially across different flow rates ...
Kirill Kolesnik +3 more
wiley +1 more source
Hierarchical forecasting of COVID-19 cases in Africa using machine learning models. [PDF]
Shoko C, Sigauke C, Makatjane K.
europepmc +1 more source
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich +2 more
wiley +1 more source
Primacy of feature engineering over architectural complexity for intermittent demand forecasting. [PDF]
Nathan BS +5 more
europepmc +1 more source

