Results 171 to 180 of about 669,950 (280)

Combination of partial least square structural equation modeling scheme of principal component analysis with importance performance analysis. [PDF]

MethodsX
Otok BW, Alfasanah Z, Aksioma DF.
europepmc   +1 more source

Recent Advances in Variable‐Stiffness Robotic Systems Enabled by Phase‐Change Materials

Advanced Robotics Research, EarlyView.
Phase‐change materials (PCMs), such as shape memory alloys, hydrogels, shape memory polymers, liquid crystal elastomers, and low‐melting‐point alloys, are driving advancements in stiffness‐tunable robotic systems across a wide range of applications. This review highlights recent progress in PCM‐enabled robotics, focusing on their underlying mechanisms,
Sukrit Gaira, Liao Wu, Ming Li, Priyank Kumar, Xiaopeng Li, Shi‐Yang Tang   +5 more
wiley   +1 more source

Revealing unobserved factors underlying cortical activity with a rectified latent variable model applied to neural population recordings.

J Neurophysiol, 2017
Whiteway MR, Butts DA.
europepmc   +1 more source

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, Jiahui Zhang, Yimin Han, Ji Ma, Minghao Lu, Ioannis Havoutis, Peng Lu   +6 more
wiley   +1 more source

Consistent Factor Score Regression: A Better Alternative for Uncorrected Factor Score Regression? [PDF]

Educ Psychol Meas
Bogaert J, Loh WW, Rosseel Y.
europepmc   +1 more source

Using a latent variable model with non-constant factor loadings to examine PM_2.5 constituents related to secondary inorganic aerosols. [PDF]

Stat Modelling, 2016
Zhang Z, O'Neill MS, Sánchez BN.
europepmc   +1 more source

Diversified Latent Variable Models

, 2018
Latent variable model is a common probabilistic framework which aims to estimate the hidden states of observations. More specifically, the hidden states can be the position of a robot, the low dimensional representation of an observation. Meanwhile, various latent variable models have been explored, such as hidden Markov models (HMM), Gaussian mixture ...
openaire   +1 more source

Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains

Advanced Robotics Research, EarlyView.
How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao, Yinzhao Dong, Ji Ma, Peng Lu   +3 more
wiley   +1 more source

Physically consistent global atmospheric data assimilation with machine learning in latent space. [PDF]

Sci Adv
Fan H, Bai L, Fei B, Xiao Y, Chen K, Liu Y, Qu Y, Ling F, Gentine P.   +8 more
europepmc   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

Advanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng, Zihan Li, Yifeng Shao, Jinhao Liu, Li Yu, Shuguang Li   +5 more
wiley   +1 more source