Results 271 to 280 of about 336,714 (315)

Sub‐Micrometer‐Precision Path Following of Piezo‐Actuated Mobile Robot

open access: yesAdvanced Intelligent Systems, EarlyView.
This article reports on the Holonomic‐Beetle (HB), a palm‐sized robot that achieves sub‐micrometer (sub‐µm) precision path tracking across spatial ranges from 100 µm to 10 mm. Using proportional‐integral‐derivative (PID) control, the HB accurately tracks both complex and straight paths with sub‐µm path errors, surpassing existing robots.
Eiji Kusui   +9 more
wiley   +1 more source

RMSE comparison of Data_2-3 based on the actual scene measured by ZED2i camera.

open access: green
Gaochao Yang (18458505)   +2 more
openalex   +1 more source

Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles

open access: yesAdvanced Intelligent Systems, EarlyView.
This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin   +4 more
wiley   +1 more source

Enhanced forecasting of friction and cohesion of augmented unsaturated soil with nanostructured quarry fines (NQF) addition. [PDF]

open access: yesSci Rep
Kamchoom V   +7 more
europepmc   +1 more source

Results of model 2 for subject classification. Sensitivity, specificity, and accuracy values are shown, along with their respective root mean square error (RMSE) and mean absolute percentage error (MAPE), for the subjects of Dtr, Dval and Dte.

open access: green
José Gerardo Suárez-García (8849585)   +5 more
openalex   +1 more source

A Neural Network‐Based Self‐Sensing Embedded Position Control System for Shape Memory Alloy Wire Actuators

open access: yesAdvanced Intelligent Systems, EarlyView.
Shape memory alloy wires exhibit thermally induced phase changes that generate actuation strain and resistance variations enabling self‐sensing. However, hysteretic electromechanical behavior complicates accurate state estimation. This paper presents an artificial in‐based self‐sensing method to reconstruct SMA actuator position in real time, achieving
Krunal Koshiya   +2 more
wiley   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

open access: yesAdvanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy   +2 more
wiley   +1 more source

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