Results 61 to 70 of about 619,416 (280)
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Advanced Robotics Research, EarlyView.Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
, 2015 This book provides a systematic treatment of the mathematical underpinnings of work in data assimilation, covering both theoretical and computational approaches. Specifically the authors develop a unified mathematical framework in which a Bayesian formulation of the problem provides the bedrock for the derivation, development and analysis of algorithms;
Zhihua Zhang, John C. Moore
openaire +3 more sources
Data Assimilation by Artificial Neural Networks for an Atmospheric General Circulation Model: Conventional Observation [PDF]
, 2014 This paper presents an approach for employing artificial neural networks (NN) to emulate an ensemble Kalman filter (EnKF) as a method of data assimilation.
Cintra, Rosangela S. +1 more
core
The Onsager--Machlup functional for data assimilation [PDF]
, 2017 When taking the model error into account in data assimilation, one needs to evaluate the prior distribution represented by the Onsager--Machlup functional.
Sugiura, Nozomi
core +3 more sources
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
Advanced Robotics Research, EarlyView.BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Comparative and Quality Analysis of Radio Occultation Data from FY-3E/GNOS and COSMIC-2
Gaoyuan qixiangRadio Occultation data are of great value in numerical weather forecasting and climate monitoring.This study evaluates the deviation characteristics of occultation data from the FY-3E/GNOS and COSMIC-2 satellites with ERA5 reanalysis data.The results ...
Shihan WANG +2 more
doaj +1 more source
A Practical Method to Estimate Information Content in the Context of 4D-Var Data Assimilation. II: Application to Global Ozone Assimilation [PDF]
, 2012 Data assimilation obtains improved estimates of the state of a physical system by combining imperfect model results with sparse and noisy observations of reality. Not all observations used in data assimilation are equally valuable.
Bowman, Kevin +4 more
core +1 more source
A posteriori error covariances in variational data assimilation [PDF]
, 2009 The problem of variational data assimilation for a nonlinear evolution model is formulated as an optimal control problem to find some unknown parameters of the model.
Gejadze, I.Yu. +5 more
core +3 more sources
Liquid Crystalline Elastomers in Soft Robotics: Assessing Promise and Limitations
Advanced Robotics Research, EarlyView.Liquid crystalline elastomers (LCEs) are programmable soft materials that undergo large, anisotropic deformation in response to external stimuli. Their molecular alignment encodes directional actuation in a monolithic structure, making them long‐standing candidates for soft robotic systems.
Justin M. Speregen, Timothy J. White
wiley +1 more source
Remote Sensing, 2022 Soil moisture is a key variable of the climate system. Microwave remote sensing has become an essential means of obtaining soil moisture because of the unique advantages of its all-day and all-weather observation capability.
Xuesong Bai +3 more
doaj +1 more source