Results 41 to 50 of about 325,728 (267)
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
Advanced Robotics Research, EarlyView.A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
, 2013 This study introduces a non-intrusive approach in the context of low-rank separated representation to construct a surrogate of high-dimensional stochastic functions, e.g., PDEs/ODEs, in order to decrease the computational cost of Markov Chain Monte Carlo
Validi, AbdoulAhad
core +1 more source
Advanced Robotics Research, EarlyView.Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
Remote Sensing, 2010 In this contribution, a hybrid multi-contextual Markov model for unsupervised near real-time flood detection in multi-temporal X-band synthetic aperture radar (SAR) data is presented. It incorporates scale-dependent, as well as spatio-temporal contextual
André Twele, Sandro Martinis
doaj +1 more source
Contagion between United States and european markets during the recent crises [PDF]
, 2011 The main objective of this paper is to detect the existence of financial contagion between the North American and European markets during the recent crises.
Muñoz Gracia, María del Pilar +2 more
core +2 more sources
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 +4 more
wiley +1 more source
Information matrix for hidden Markov models with covariates [PDF]
, 2014 For a general class of hidden Markov models that may include time-varying covariates, we illustrate how to compute the observed information matrix, which may be used to obtain standard errors for the parameter estimates and check model identifiability ...
F., Bartolucci, Farcomeni, Alessio
core +1 more source
Advanced Science, EarlyView.This study performs pan‐viromic profiling of 14,529 samples from 5,710 domestic herbivores across five Chinese provinces, establishing the DhCN‐Virome (1,085,360 viral metagenomes). It reveals species/sample‐specific viromic signatures and cross‐species transmission dynamics, aiding unified disease control.
Yue Sun +19 more
wiley +1 more source
An Analysis of Build-Up Growth Impacts to Water Stream Line of Motorway-6 Project End Point in Muang District of Nakhon Ratchasima Province [PDF]
Warasan Witthayasat Lae Theknoloyi Mahawitthayalai Mahasarakham, 2019 Due to rapid growth of Nakhon Ratchasima province. Land use and Land cover change (LULC) change takes place in surrounding end point of Motorway of Nakhon Ratchasima municipality and its vicinity, various types of environmental impacts occur in the ...
Patiwat Littidej
doaj
Multivariate Wishart Stochastic Volatility Models [PDF]
, 2010 We generalize the basic Wishart multivariate stochastic volatility model of Philipov and Glickmann (2006) to encompass regime switching behavior. The latent state variable is driven by a first-order Markov process. In order to estimate the proposed model
Gribisch, Bastian, Liesenfeld, Roman
core