Results 221 to 230 of about 528,580 (282)

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

Advanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar, Zhengtong Xu, Siavash Mahmoudi, Pouya Sohrabipour, Chaitanya Pallerla, Yu She, Wan Shou, Philip Glen Crandall, Dongyi Wang   +8 more
wiley   +1 more source

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

Advanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao, Hongzhou Ai, Wenjun Xu, Zude Zhou, Lihui Wang   +4 more
wiley   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Ovarian Matrisome Dynamics and αvβ3‐Mediated Regulation in Early Follicular Development

Advanced Science, EarlyView.
The matrisome undergoes dynamic remodeling during early follicular development. Integrin αvβ3 mediates matrisome signals, regulating primordial follicle activation/atresia and secondary follicle growth via Hippo/mTOR pathways, with conserved roles in human ovaries, offering therapeutic targets for ovarian disorders.
Tong Wu, Yanzhi Feng, Qingqing Zhu, Ting Jiang, Yueyue Gao, Kebing Nie, Xianan Tang, Ying Chen, Dianxing Hu, Xudan Yang, Shixuan Wang, Meng Wu, Jinjin Zhang   +12 more
wiley   +1 more source

QBP1 Peptide as a Potential Anti‐Amyloidogenic Therapy for Type 2 Diabetes: An In Vitro Study

Advanced Science, EarlyView.
The anti‐amyloidogenic peptide QBP1 effectively halts human islet amyloid polypeptide (hIAPP) aggregation, preventing the formation of toxic β‐structured intermediates. Through a combination of biophysical assays, molecular dynamics, and cell‐based studies, QBP1 is shown to preserve β‐cell viability and metabolic homeostasis, positioning it as a ...
María M. Tejero‐Ojeda, Ada Bernaus Vives, Michał Wojciechowski, Dinh Quoc Huy Pham, Mateusz Chwastyk, Mario Vallejo, Anna Novials, Douglas V. Laurents, Mariano Carrión‐Vázquez   +8 more
wiley   +1 more source

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

Advanced Science, EarlyView.
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, Noah S. David, Markus J. Buehler   +2 more
wiley   +1 more source

The Uppsala APP Mutation Promotes Wild‐Type Amyloid‐β Aggregation and Deposition In Vivo

Advanced Science, EarlyView.
We investigated in vivo cross‐seeding of amyloid‐β (Aβ) isoforms in transgenic mice co‐expressing wild‐typeAβ and the Uppsala‐mutant Aβ variant (AβUpp), lacking six central residues. Weleveraged MALDI‐MS imaging and hyperspectral microscopy to follow spatio‐temporalAβ deposition.
Junyue Ge, María Pagnon de la Vega, Silvia Zampar, Enrica Cerilli, Srinivas Koutarapu, Ling Wu, Paul Fraser, Sertan Arkan, Vilmantas Giedraitis, Lars Lannfelt, Greta Hultqvist, Stina Syvänen, Martin Ingelsson, Jörg Hanrieder, Dag Sehlin   +14 more
wiley   +1 more source

A Perspective on the Applications of Triphasic Gas Storage in Electrochemical Systems

Advanced Science, EarlyView.
Gas storage in microporous materials positioned locally at an electrode or electrocatalyst surface enhances electrochemical processes. Abstract Microporous materials store gases under dry conditions (e.g., hydrogen or oxygen via physisorption), but in some cases microporous materials also show triphasic (e.g., in a solid|gas|liquid system) gas storage ...
Zhongkai Li, Corin T. Scott, Taku Suzuki‐Osborne, John P. Lowe, Dominic Taylor, Mariolino Carta, Neil B. McKeown, Andrew D. Burrows, Lucia H. Mascaro, Frank Marken   +9 more
wiley   +1 more source