Results 71 to 80 of about 698,809 (305)

Recent Advances of Slip Sensors for Smart Robotics

open access: yesAdvanced 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   +8 more
wiley   +1 more source

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

open access: yesAdvanced 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

Stock Market Trend Prediction Algorithm Based on Morphological Characteristics and Causal Ridge Regression [PDF]

open access: yesJisuanji gongcheng, 2016
Based on the typical M form of the block volatility,this paper puts forward a ridge regression stock market trend prediction algorithm based on causality.Stock form reflects the stock fluctuations of energy change.According to the characteristics of the ...
YAO Hongliang,MA Xiaoqin,WANG Hao,LI Junzhao
doaj   +1 more source

Addiction as a Disruption of the Markov Blanket: A Hyper-Precision of Momentary Rewards Over Long-Term Adaptation

open access: yesGlobal Journal of Addiction & Rehabilitation Medicine
This opinion piece proposes that addiction can be conceptualized as a disruption of an agent’s Markov blanket - the statistical boundary separating internal states from the external environment - under active inference.
Mahault Albarracin
semanticscholar   +1 more source

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

open access: yesAdvanced 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

Causal Models for the Result of Percutaneous Coronary Intervention in Coronary Chronic Total Occlusions

open access: yesApplied Sciences, 2021
Background: Patients undergoing coronary angiography very frequently exhibit coronary chronic total occlusions (CTOs). Over the last decade, there has been an increasing acceptance of the percutaneous coronary interventions (PCI) in CTOs due to, among ...
Maria Ganopoulou   +3 more
doaj   +1 more source

A PC-Style Markov Blanket for High Dimensional Datasets

open access: yes, 2018
For classification in high-dimensional datasets, it is often helpful to know not just the Markov blanket MB(t) of the target variable t but also the Markov blanket DAG MBD(t) of t.
Joe Ramsey (5372336)
core   +1 more source

Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction

open access: yesAdvanced Robotics Research, EarlyView.
Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith   +4 more
wiley   +1 more source

Multi-Source Causal Invariance for Cuffless Blood Pressure Estimation Based on Photoplethysmography Signal Features

open access: yesSensors
Cuffless continuous blood pressure (BP) monitoring is essential for personal health management. However, its accuracy is challenged by the diversity and heterogeneity of physiological data sources.
Yiliu Xu, Zhaoming He, Hao Wang
doaj   +1 more source

Comparison of Markov Blanket genes across Grades I to IV Astrocytoma.

open access: yes, 2013
Over-expressed genes are bold; Under expressed genes are italic. Genes highlighted in grey with underline are Markov blanket genes for the corresponding tumor grade.
Changwon Yoo (416678)   +2 more
core   +1 more source

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