Results 51 to 60 of about 561 (213)

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

How Does Organized Convection Impact Explicitly Resolved Cloud Feedbacks in the Radiative‐Convective Equilibrium Model Intercomparison Project?

Journal of Advances in Modeling Earth Systems
In simulations of radiative‐convective equilibrium (RCE), and with sufficiently large domains, organized convection enhances top of atmosphere outgoing longwave radiation due to the reduced cloud coverage and drying of the mean climate state.
Catherine L. Stauffer, Allison A. Wing
doaj   +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

Feedback in Clouds II: UV photoionization and the first supernova in a massive cloud [PDF]

Monthly Notices of the Royal Astronomical Society, 2016
Molecular cloud structure is regulated by stellar feedback in various forms. Two of the most important feedback processes are UV photoionisation and supernovae from massive stars. However, the precise response of the cloud to these processes, and the interaction between them, remains an open question.
Geen, Sam, Hennebelle, Patrick, Tremblin, Pascal, Rosdahl, Joakim   +3 more
openaire   +5 more sources

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

Boreal afforestation’s underestimated cloud influence on Earth’s energy imbalance

npj Climate and Atmospheric Science
Earth’s Energy Imbalance (EEI) is accelerating, partly due to declining planetary albedo1–6 from reduced cloud cover. Boreal afforestation can either mitigate or exacerbate this trend through competing biophysical feedbacks.
Enoch Ofosu, Kevin Bradley Dsouza, Daniel Chukwuemeka Amaogu, Jérôme Pigeon, Richard Boudreault, Juan Moreno-Cruz, Pooneh Maghoul, Yuri Leonenko   +7 more
doaj   +1 more source

Cyclic Mechanical Loading of Cardiomyocytes via Pressure‐Driven Non‐Planar Membrane Deformation in a Bioreactor System

Advanced Science, EarlyView.
In this research article, Mansoor and coworkers present a novel device that applies controlled mechanical stimuli to cardiomyocytes using pressure‐driven membrane deformation. By exposing cells to physiologically and pathologically relevant loading conditions, the platform reproduces distinct structural, functional and molecular responses associated ...
Haris Mansoor, Gabrielle Juul, Jil Patel, Heran Pradhan, Gram Hepner, Jackson Jewell, Mark Bardin, Ryan Slusser, Abigail Glezer, Leda Klouda, Melikhan Tanyeri, Anita Saraf   +11 more
wiley   +1 more source

Improved decomposition of cloud feedback and corresponding pattern change under uniform surface ocean warming: I. Anomalous mean method

Geoscience Letters
Clouds are the primary source of uncertainty in future climate projections, due to complex dynamical and radiative processes. They exert a significant positive radiative forcing, thereby amplifying greenhouse warming.
Jing Feng, Jian Ma
doaj   +1 more source

Online-coupled meteorology and chemistry models: history, current status, and outlook [PDF]

Atmospheric Chemistry and Physics, 2008
The climate-chemistry-aerosol-cloud-radiation feedbacks are important processes occurring in the atmosphere. Accurately simulating those feedbacks requires fully-coupled meteorology, climate, and chemistry models and presents significant challenges in ...
Y. Zhang
doaj  

Decomposing Cloud Radiative Feedbacks by Cloud-Top Phase [PDF]

Journal of Climate
Changes in cloud scattering properties and emissivity that arise from atmospheric warming cause substantial radiative feedbacks in model projections of anthropogenic climate change, and the relative importance of the underlying mechanisms is poorly understood.
Casey J. Wall, David Paynter, Yi Qin, Matvey Debolskiy, Margaret L. Duffy, Takuro Michibata, Brandon M. Duran, Nicholas J. Lutsko, Po-Lun Ma, Brian Medeiros, Trude Storelvmo, Ming Zhao   +11 more
openaire   +1 more source