Results 51 to 60 of about 4,826 (192)

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced Robotics Research, EarlyView.
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, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source

Molekulardynamik-Simulationen von amyloidogenen Proteinen in Lösung: Stabilitätsuntersuchungen und Weiterentwicklung einer Kontinuumsmethode [PDF]

, 2007
Viele neurodegenerative Erkrankungen, wie die transmissiblen spongiformen Enzephalopathien (TSE), die Alzheimer- und die Huntington-Krankheit, sind durch charakteristische Ablagerungen im Gehirn, sogenannte Amyloide, gekennzeichnet. Amyloide sind oftmals
Stork, Martina
core   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

Object Location Using Path Separators

, 2008
We study a novel separator property called k-path separable. Roughly speaking, a k-path separable graph can be recursively separated into smaller components by sequentially removing k shortest paths.
Ittai Abraham, et al.
core  

In Situ X‐Ray Tomography and Acoustic Emission Monitoring of Damage Evolution in C/C‐SiC Composites Fabricated by Liquid Silicon Infiltration

Advanced Science, EarlyView.
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen, Renato S. M. Almeida, Stefan Flauder, Guillaume Couégnat, Kamen Tushtev, Jürgen Horvath, Peter Wriggers, Kurosch Rezwan   +7 more
wiley   +1 more source

Attomolar Detection of HIV‐1 With Label‐Free RCA‐rCRISPR on Smartphone

Advanced Science, EarlyView.
A new diagnostic strategy integrating rolling circle amplification (RCA) with a plasmid reporter–based ratiometric CRISPR (rCRISPR) system was developed to detect unfragmented HIV genomes with single‐digit attomolar sensitivity. The method quantifies targets using the plasmid relaxation ratio and employs a smartphone‐based mini‐gel device to enable ...
Noor Mohammad, Anastasiia Steksova, Yuyang Tang, Leyao Huang, Alireza Velayati, Shengwei Zhang, Aditi Dey Poonam, Sina Jamalzadegan, Matthew Breen, Hongjie Chen, Mahsa Bagi, Guochun Jiang, Qingshan Wei   +12 more
wiley   +1 more source

A Unified Neural Based Model for Structured Output Problems

, 2015
International audienceMany recent applications address challenging problems where the output is in high dimension (discrete Structured output problems are characterized by struc- or continuous values) and where dependencies lie betural dependencies ...
Belharbi, Soufiane, Hérault, Romain, Chatelain, Clément, Adam, Sébastien   +3 more
core  

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source