Results 81 to 90 of about 151,397 (266)

On a graph model for reflectometry issues and some algorithms for their solution. Part 2. An approach to software implementation

Известия высших учебных заведений. Поволжский регион: Физико-математические науки, 2022
Backgrond. The relevance of the subject area under consideration is primarily due to the need to minimize the cost of so-called reflectometers, with the existing restriction on the condition of total monitoring of fiber-optic cables.
B.F. Mel'nikov, Yu.Yu. Terent'eva
doaj   +1 more source

Hard‐Magnetic Soft Millirobots in Underactuated Systems

Advanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang, Zixuan Zhang, Bingyan Li, Junkai Wang, Hongcheng Gu   +4 more
wiley   +1 more source

Comparison of CS-Based Channel Estimation for Millimeter Wave Massive MIMO Systems

Applied Sciences, 2019
Compressed sensing (CS) has great potential in channel estimation for millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems.
Xingbo Lu, Weiwei Yang, Yueming Cai, Xinrong Guan   +3 more
doaj   +1 more source

Vector greedy algorithms

Journal of Complexity, 2003
A dictionary is a subset \(\mathcal D\) of a Hilbert space \((H,\langle\cdot,\cdot\rangle)\) such that \(\|g\|=1\) for all \(g\in \mathcal D\) and cl-span\((\mathcal D)=H.\) The objective of greedy algorithms is to construct a sequence \(\{g_k\}\) in \(\mathcal D\) and a sequence of approximants \(G_k\in\mathcal D_k=\) span\(\{g_1,\dots,g_k\}\) such ...
Lutoborski, Adam, Temlyakov, Vladimir N.
openaire   +2 more sources

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

Advanced Robotics Research, EarlyView.
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett, Maxwell Hammond, Niloufar Seyfi, Amirreza Fahim Golestaneh, Venanzio Cichella, Caterina Lamuta   +5 more
wiley   +1 more source

UTact: Underwater Vision‐Based Tactile Sensor with Geometry Reconstruction and Contact Force Estimation

Advanced Robotics Research, EarlyView.
Embedded flexible sensing technologies advance underwater soft robotics, yet most systems still suffer from hysteresis and limited perceptiveness. Instead, vision‐based tactile sensors provide reliable and rapid feedback essential for complex underwater tasks.
Qiyi Zhang, Zonghao Zuo, Haoxuan Wang, Bin Liu, Yilidusi Yilihamu, Li Wen   +5 more
wiley   +1 more source

Nonlocomotory Robotic Strategies for Dynamic Rotation Control in Terrestrial Robots: A Review

Advanced Robotics Research, EarlyView.
Terrestrial robots increasingly require rapid body rotation to maintain stability and agility in complex environments. This review shows nonlocomotory rotational control strategies that operate without ground contact, including reaction wheels, tails, bars, limbs, and thrusters.
Y. Liang, J. An, X. Zheng, D. Wang, S. Wang, X. Wang, P. Zhu, J. Pei, S. Li, J. Paripurana, Y. Han, Z. Tang, X. Gan, Q. He, X. Ma   +14 more
wiley   +1 more source

Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint [PDF]

, 2014
We consider forward-backward greedy algorithms for solving sparse feature selection problems with general convex smooth functions. A state-of-the-art greedy method, the Forward-Backward greedy algorithm (FoBa-obj) requires to solve a large number of ...
Fujimaki, Ryohei, Liu, Ji, Ye, Jieping
core  

Typical Approximation Performance for Maximum Coverage Problem

, 2018
This study investigated typical performance of approximation algorithms known as belief propagation, greedy algorithm, and linear-programming relaxation for maximum coverage problems on sparse biregular random graphs.
Hukushima, Koji, Maehara, Takanori, Takabe, Satoshi   +2 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