Results 41 to 50 of about 73,803 (311)

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Hidden Markov Model for Stock Selection

Risks, 2015
The hidden Markov model (HMM) is typically used to predict the hidden regimes of observation data. Therefore, this model finds applications in many different areas, such as speech recognition systems, computational molecular biology and financial market ...
Nguyet Nguyen, Dung Nguyen
doaj   +1 more source

Duration modeling with hidden Markov models [PDF]

The Journal of the Acoustical Society of America, 1993
In hidden Markov modeling (HMM) of speech signals, the statistics of speech characteristics are represented by HMM parameters after the HMM training. This procedure is purely statistical. This study concerns the incorporation of explicit knowledge into the HMM training. Therefore one specific parameter, i.e., segment duration, was selected. In order to
ten Bosch, L.F.M., Wang, X., Pols, L.C.W.   +2 more
openaire   +2 more sources

Perfect posterior simulation for mixture and hidden Markov models [PDF]

, 2010
In this paper we present an application of the read-once coupling from the past algorithm to problems in Bayesian inference for latent statistical models.
Berthelsen, Kasper Klitgaard, Laird A. Breyer, Berthelsen, Kasper K., Kasper K. Berthelsen, Roberts, Gareth O., Breyer, Laird A., Gareth O. Roberts   +6 more
core   +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

Robot introspection through learned hidden Markov models

, 2006
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behavioural models to provide a robot with an introspective capability.
Maria Fox, Malik Ghallab, Fox, Maria, Infantes, Guillaume, Ghallab, M., Long, D., Ghallab, Malik, Fox, M., Guillaume Infantes, Infantes, G., Long, Derek, Derek Long   +11 more
core   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

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, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

Prediction Using Markov Model and Hidden Markov Model for the States of Banknotes [PDF]

Alfarama Journal of Basic & Applied Sciences
This study aims to solve the problem of identifying the values of banknotes, and whether if they are fake or not. This problem considered one of the topics that many researchers are interested in the field of detecting banknotes values and determining ...
Mosaad Hendam, Khaled Mahfouz, Mohamed Genedi   +2 more
doaj   +1 more source

An agent-based implementation of hidden Markov models for gas turbine condition monitoring

, 2014
This paper considers the use of a multi-agent system (MAS) incorporating hidden Markov models (HMMs) for the condition monitoring of gas turbine (GT) engines.
Twiddle, John, Catterson, Victoria, Kenyon, Andrew, McArthur, Stephen   +3 more
core   +1 more source

Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning

Advanced Science, EarlyView.
We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng, Mingwei He, Jeff Zhu, Sujit K. Sahoo, Liheng Bian, Cuong Dang   +5 more
wiley   +1 more source