Results 131 to 140 of about 578,033 (291)
Fault Detection and Diagnosis using Principal Component Analysis of Vibration Data from a Reciprocating Compressor [PDF]
This paper investigates the use of time domain vibration features for detection and diagnosis of different faults from a multi stage reciprocating compressor.
Gu, Fengshou, Ball, Andrew, Ahmed, M.
core +1 more source
Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients
In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni +4 more
wiley +1 more source
PCA, arithmetic, and murmurations
We outline how murmurations were first observed in the context of data scientific exploration. Specifically, we highlight the relationship between murmurations and PCA.
Oliver, T.
core +1 more source
Compliant Pneumatic Feet with Real‐Time Stiffness Adaptation for Humanoid Locomotion
A compliant pneumatic foot with real‐time variable stiffness enables humanoid robots to adapt to changing terrains. Using onboard vision and pressure control, the foot modulates stiffness within each gait cycle, reducing impact forces and improving balance. The design, cast in soft silicone with embedded air chambers and Kevlar wrapping, offers durable,
Irene Frizza +3 more
wiley +1 more source
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka +3 more
wiley +1 more source
We introduce a novel statistical framework for the analysis of replicated point processes that allows for the study of point pattern variability at a population level. By treating point process realizations as random measures, we adopt a functional analysis perspective and propose a form of functional Principal Component Analysis (fPCA) for point ...
Picard, Franck +3 more
openaire +2 more sources
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source
Mitin por la autonomía : que no le falte tu voto
Primer pla d'una parsona gran ...
Partido Comunista de Andalucía (PCA)
core
Time History Gaussian Process Regression for Modeling the Dynamics of Ankle Exoskeleton User Comfort
Exoskeletons need to be comfortable, but the perception of comfort may change over time. This study investigated if short‐term time history directly influences comfort. No previous trials’ input features were predictive of comfort. Including the previous trial's comfort score marginally improved model accuracy compared to a model using only the current
Axl Maberry, Bo Cheng, Anne E. Martin
wiley +1 more source
Variability is the prerequisite for selection of superior traits and parents. Multivariate analysis acts as an aid to the process of selection indices. Therefore, twenty-two farmers’ varieties of pea (Pisum sativum var.
Ruchi Bishnoi1,2 *, Shailesh Marker3,4 , Preeti Basser5 , Rutvik J. Joshi6 and Jogender Beniwal7
doaj +1 more source

