Results 161 to 170 of about 94,190 (294)

Extending Battery Usage Time of a Heavy‐Duty Mecanum‐Wheeled Autonomous Electric Vehicle Used in Iron–Steel Industry by Considering Wheel Slippage

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar, Goktug Hambarci, Ali Sezai Demirel   +2 more
wiley   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

Multiobjective Environmental Cleanup with Autonomous Surface Vehicle Fleets Using Multitask Multiagent Deep Reinforcement Learning

Advanced Intelligent Systems, EarlyView.
This study presents a multitask strategy for plastic cleanup with autonomous surface vehicles, combining exploration and cleaning phases. A two‐headed Deep Q‐Network shared by all agents is traineded via multiobjective reinforcement learning, producing a Pareto front of trade‐offs.
Dame Seck, Samuel Yanes, Manuel Perales, Daniel Gutiérrez, Sergio Toral   +4 more
wiley   +1 more source

Bio‐to‐Robot Transfer of Fish Sensorimotor Dynamics via Interpretable Model

Advanced Intelligent Systems, EarlyView.
This study demonstrates how a biologically interpretable model trained on real‐fish muscle activity can accurately predict the motion of a robotic fish. By linking real‐fish sensorimotor dynamics with robotic fish, the work offers a transparent, data‐efficient framework for transferring biological intelligence to bioinspired robotic systems.
Waqar Hussain Afridi, Ahsan Tanveer, Rahdar Hussain Afridi, Muhammad Hamza, Mingxin Wu, Liang Li, Guangming Xie   +6 more
wiley   +1 more source

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

Advanced 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, Qian Li, Zhiwei Li, Xukai Zhai, Jinhui Gao   +4 more
wiley   +1 more source

Assessing Angiogenic Properties In Vitro or In Ovo of Pre‐Crosslinked Alginate‐Dialdehyde‐Gelatin Hydrogels Incorporating Boron‐Doped Mesoporous Bioactive Glass Particles

Advanced NanoBiomed Research, EarlyView.
This study examines the influence of boron‐doped mesoporous bioactive glass nanoparticles (MBGN) blended in cast and 3D‐printed pre‐crosslinked alginate‐dialdehyde‐gelatin (ADA‐GEL). Addition of 0.5% and 1% MBGN did not negatively affect the viability of human umbilical vein endothelial cells (HUVECs), or the sprouting of HUVEC spheroids.
Rafael Schmid, Yvonne Kulicke, Evelin Sandor, Hsuan‐Heng Lu, Stefan Fleischer, Isabell Lang, Harald Wajant, Hana Kaňková, Andreas Arkudas, Annika Kengelbach‐Weigand, Raymund E. Horch, Aldo R. Boccaccini, Theresa Promny   +12 more
wiley   +1 more source

Engineering Tertiary Lymphoid Structures: Nanomedicine, Bioengineering, and Biomaterials for Precision Immunotherapy

Advanced NanoBiomed Research, EarlyView.
This review explains how biomaterials and nanoparticles can be used to induce or modulate tertiary lymphoid structures (TLSs), which are ectopic immune hubs that form in nonlymphoid tissues during chronic disease and cancer. By comparing different methods, the article highlights design principles for modeling TLSs or recapitulating specific TLS ...
Shaza Karaman, Mei ElGindi, Jeremy Teo
wiley   +1 more source

A Multisensor Remote Sensing Approach to Archaeological Prospection: Integrating UAV and Google Earth Data in the Bayan Gol Valley, Mongolia

Archaeological Prospection, EarlyView.
ABSTRACT This study investigates the effectiveness of drone‐based remote sensing and Google Earth satellite imagery for archaeological prospection in the Bayan Gol Valley, Central Mongolia. Utilizing a fixed‐wing unmanned aerial vehicle (UAV) equipped with RGB and multispectral sensors, we surveyed 655 ha to document Mongol‐period settlement structures
Peter Heimermann, Matthias Lang, Susanne Reichert, Lkhagvadorj Munkhbayar, Jan Bemmann   +4 more
wiley   +1 more source

Archaeological Damage Assessment in Conflict Zones: Integrating Satellite Imagery and Ground Surveys in Daraa, Syria

Archaeological Prospection, EarlyView.
ABSTRACT Satellite remote sensing is among the most significant modern methodologies supporting field archaeology. In addition to its efficiency in identifying archaeological sites, remote sensing offers a safe and cost‐effective approach in conflict zones.
Amal Al Kassem, Kristen Hopper, Ismael M. Ibraheem, Andreas Maier, Mohammad Khair Nassrallah, Jürgen Richter   +5 more
wiley   +1 more source

Asynchrony of directional auditory warnings and visual information in hands-on SAE level 2 automated vehicles: Analysis of driver responses. [PDF]

PLoS One
Arabian A, Goodridge CM, Merat N.
europepmc   +1 more source