Speckle Skin‐Based Multimodal Tactile Perception for Fine Robotic Manipulation
Advanced Intelligent Systems, Volume 8, Issue 7, July 2026.SpeckleTac, a miniature vision‐based tactile sensor, utilizes a speckle‐pattern skin and optical flow‐based scalable virtual marker tracking. Combined with advanced algorithms, it achieves high‐resolution 3D surface reconstruction, precise contact perception, and stable grasping capabilities.
Jiayuan Zhang +6 more
wiley +1 more source
Penjadwalan Pemeliharaan Trek Kereta dengan Metode Distributed Model Predictive Control
Jurnal Nasional Teknik Elektro dan Teknologi Informasi, 2019 This work addresses the development of Distributed Model Predictive Control (DMPC) approaches for the planning of maintenance operations of large-scale railway infrastructure formulated as a Mixed-Integer Linear Programming (MILP) problem.
Muhammad Faris, Ircham Ircham
doaj +1 more source
Distributed Inexact Consensus-Based ADMM Method for Multi-Agent Unconstrained Optimization Problem
IEEE Access, 2019 Recently, the alternating direction method of multipliers (ADMM) has been used effectively to solve the multi-agent unconstrained optimization problems, where the objective function is the sum of privately known local objective functions of agents.
Long Jian +3 more
doaj +1 more source
Evaluation of the Performance of the Alternating Direction Method of Multipliers in Artificial Neural Networks [PDF]
openThis thesis presents a comprehensive evaluation of the Alternating Direction Method of Multipliers (ADMM) algorithm for neural network optimization, comparing its performance against traditional gradient-based methods, including Gradient Descent (GD)
MEDA, ERGYS
core
Stochastic alternating direction method of multipliers
, 2015 The alternating direction method of multipliers (ADMM) is an efficient optimization solver for a wide variety of machine learning models. Recently, stochastic ADMM has been integrated with variance reduction methods for stochastic gradient, leading to ...
Zheng, Shuai
core
Efficient Data Gathering Methods in Wireless Sensor Networks Using GBTR Matrix Completion
Sensors, 2016 To obtain efficient data gathering methods for wireless sensor networks (WSNs), a novel graph based transform regularized (GBTR) matrix completion algorithm is proposed.
Donghao Wang +4 more
doaj +1 more source
An Alternating Direction Method of Multipliers for Constrained Joint Diagonalization by Congruence (Invited Paper) [PDF]
, 2015 International audienceIn this paper, we address the problem of joint diagonalization by congruence (i.e. the canonical polyadic decomposition of semi-symmetric 3rd order tensors) subject to arbitrary convex constraints.
Jean-Christophe Pesquet +7 more
core +1 more source
Journal of Inequalities and ApplicationsThe alternating direction method of multipliers (ADMM) has been widely used to solve linear constrained problems in signal processing, matrix decomposition, machine learning, and many other fields.
Zhonghui Xue +3 more
doaj +1 more source
An Optimal ADMM for Unilateral Obstacle Problems
MathematicsWe propose a new alternating direction method of multipliers (ADMM) with an optimal parameter for the unilateral obstacle problem. We first use the five-point difference scheme to discretize the problem.
Shougui Zhang +3 more
doaj +1 more source
Short‐range SAR imaging with a fast adaptive plug‐and‐play ADMM‐based approach
Electronics LettersThis study presents a method for short‐range synthetic aperture radar (SAR) imaging employing a fast adaptive plug‐and‐play framework based on the alternating direction method of multipliers (ADMM).
The Hien Pham, Ic Pyo Hong
doaj +1 more source