Results 41 to 50 of about 13,588 (308)

Global Asymptotic Stability of the Classical PID Controller by Considering Saturation Effects in Industrial Robots

International Journal of Advanced Robotic Systems, 2011
An unsolved ancient problem in position control of robot manipulators is to find a stability analysis that proves global asymptotic stability of the classical PID control in closed loop with robot manipulators.
Antonio Yarza, Victor Santibanez, Javier Moreno-Valenzuela   +2 more
doaj   +2 more sources

A Study on Optimal Data Bandwidth of Recurrent Neural Network–Based Dynamics Model for Robot Manipulators

Advanced Intelligent Systems
In this article, a recurrent neural network (RNN)‐based learning method is propdosed for achieving the overall dynamic model of robot manipulators. Several sections, e.g., data acquisition, learning model, hidden layers, nodes, activation function, and ...
Seungcheon Shin, Minseok Kang, Jaemin Baek   +2 more
doaj   +1 more source

A Novel Approach for Simplification of Industrial Robot Dynamic Model Using Interval Method

, 2014
This paper proposes a new approach to simplify the dynamic model of industrial robot by means of interval method. Due to strong nonlinearities, some components of robot dynamic model such as the inertia matrix and the vector of centrifugal, Coriolis and ...
Ke Wang, ABBA, Gabriel, WANG, Ke, Francois Leonard, Gabriel Abba, LEONARD, François   +5 more
core   +1 more source

TRAIL‐PEG‐Apt‐PLGA nanosystem as an aptamer‐targeted drug delivery system potential for triple‐negative breast cancer therapy using in vivo mouse model

Molecular Oncology, EarlyView.
Aptamers are used both therapeutically and as targeting agents in cancer treatment. We developed an aptamer‐targeted PLGA–TRAIL nanosystem that exhibited superior therapeutic efficacy in NOD/SCID breast cancer models. This nanosystem represents a novel biotechnological drug candidate for suppressing resistance development in breast cancer.
Gulen Melike Demirbolat, Aslihan Kucuk, Omer Erdogan, Samed Ozer, Bensu Kozan, Tugba Cuceli, Erkan Gumus, Evrim Cevik, Ozge Cevik   +8 more
wiley   +1 more source

Investigation on the Discretization of a Repetitive Path Planning Scheme for Redundant Robot Manipulators

IEEE Access, 2020
Repetitive path planning (RPP) plays an important role in the operation of redundant robot manipulators. In this study, we investigate a new discrete-time RPP scheme depicted in the pseudoinverse-type formulation for redundant robot manipulators.
Limin Shen, Yuanmei Wen
doaj   +1 more source

Interpreting the effects of DNA polymerase variants at the structural level

Molecular Oncology, EarlyView.
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi, Karolina Krzesińska, Ludovica Beltrame, Pablo Sánchez‐Izquierdo Besora, Matteo Tiberti, Mef Nilbert, Anna Rohlin, Elena Papaleo   +7 more
wiley   +1 more source

Flow Enabled Target Capture Halbach‐based magnetic enrichment increases circulating tumor cell capture from blood in metastatic cancer patients

Molecular Oncology, EarlyView.
Pair‐wise comparison of the CellSearch and FETCH enrichment technologies for circulating tumor cells (CTCs) from metastatic breast, prostate, and small cell lung cancer patients shows an increased capture of CTCs using FETCH enrichment. The clinical implementation of circulating tumor cells (CTCs) as a predictive tool for therapy efficacy in the ...
Michiel Stevens, Anouk Mentink, Tom Niessink, Frank Coumans, Leonie Mekenkamp, Ruchi Bansal, Jeroen Hiltermann   +6 more
wiley   +1 more source

A comparative study of RNN and LSTM architectures for learning full dynamic model of robot manipulators

Systems Science & Control Engineering
We propose a new implication that the recurrent neural network (RNN) architecture is more effective than the long short-term memory (LSTM) architecture in learning the full dynamic behavior of articulated robot manipulators.
Jaemin Baek, Minseok Kang
doaj   +1 more source

Robust Parameter Estimation of Robot Manipulators Using Torque Separation Technique

IEEE Access, 2021
In this paper, we propose a robust method for estimating the parameters of robot manipulators using the torque separation technique, which was developed previously by the authors, to extract the inertial, gravitational, and frictional components from the
Dawoon Jung, Hyunmin Do, Taeyong Choi, Jongwoo Park, Joono Cheong   +4 more
doaj   +1 more source

Modèles élastiques et élasto‐dynamiques de robots porteurs [PDF]

, 2012
The report presents an advanced stiffness modeling technique for parallel manipulators composed of perfect and non-perfect serial chains. The developed technique contributes both to the stiffness modeling of serial and parallel manipulators under ...
KLIMCHIK, Alexandr, PASHKEVICH, Anatol
core