Results 91 to 100 of about 5,119,496 (310)

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

Pengaturan Formasi Menggunakan Pendekatan Leader - Follower pada Sistem Multi Robot

Jurnal Teknik ITS, 2017
Sistem multi robot dapat didefinisikan sebagai kumpulan robot yang berkoordinasi melalui sistem komunikasi untuk melakukan tugas kooperatif tertentu. Penggunaan multi robot secara terkoordinasi memungkinkan pencapaian tugas yang lebih kompleks. Efisiensi
Haris Tri Rahmanto, Achmad Jazidie
doaj  

Actor-critic based on attention model for multi-robot collaborative backend optimization

International Journal of Advanced Robotic Systems
Backend optimization constitutes a critical component of simultaneous localization and mapping (SLAM) systems. In multi-robot contexts, collaborative backend optimization extends single-robot formulations to coordinate and jointly optimize the estimation
Zhaoyi Pei, Zhenghong Yu, Dunlu Lu, Qingqing Bian, Haijie Feng, Hongyuan Li   +5 more
doaj   +1 more source

Distributed Multi-Robot Localization

, 2013
In this chapter, the design of a completely decentralized and distributed multi-robot localization algorithm is presented. The issue is approached using an Interlaced Extended Kalman Filter (IEKF) algorithm. The proposed solution allows the dynamic correction of the position computed by any single robot through information shared during the random ...
PANZIERI, Stefano, PASCUCCI, Federica, Sciavicco L, Setola R.   +3 more
openaire   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Hardware Schemes for Smarter Indoor Robotics to Prevent the Backing Crash Framework Using Field Programmable Gate Array-Based Multi-Robots

Sensors
The use of smart indoor robotics services is gradually increasing in real-time scenarios. This paper presents a versatile approach to multi-robot backing crash prevention in indoor environments, using hardware schemes to achieve greater competence. Here,
Mudasar Basha, Munuswamy Siva Kumar, Mangali Chinna Chinnaiah, Siew-Kei Lam, Thambipillai Srikanthan, Janardhan Narambhatla, Hari Krishna Dodde, Sanjay Dubey   +7 more
doaj   +1 more source

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

Advanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source

Edge-Assisted Multi-Robot Visual-Inertial SLAM With Efficient Communication [PDF]

IEEE Transactions on Automation Science and Engineering
The integration of cloud computing and edge computing is an effective way to achieve global consistent and real-time multi-robot Simultaneous Localization and Mapping (SLAM).
Xin Liu, Shuhuan Wen, Jing Zhao, Tony Z. Qiu, Hong Zhang   +4 more
semanticscholar   +1 more source

OntOMat: Toward Ontology‐Based Product and Process Design Engineering and Optimization Solutions Fueling Circular Value Chains

Advanced Engineering Materials, EarlyView.
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ, Jörg Hohe, Martin Kördel, Michael Giese, Niklas Toffert, Christian Seidel, Olaf Rehme, Patrik Schneider, Oliver Focke, Elie Abi Aoun, Claas Falldorf, Beñat Gutierrez, Alexandra Kühn, Sven Torstrick-von der Lieth, Christoph Herden, Erik Johannsen, Jan‐Uwe R. Schmidt, Felix Winkelmann, Andreas Schott, Daniel Schott   +19 more
wiley   +1 more source

Real Performance Evaluation On MQTT and COAP Protocol in Ubiquitous Network Robot Platform (UNRPF) for Disaster Multi-robot Communication

Emitter: International Journal of Engineering Technology, 2018
Disaster multi-robot has a significant role in a disaster area to do many tasks like detection of fire, search and rescue of victims, etc. It needs to build good communication between the operator and multi-robot and among multi-robot themselves to ...
Muhammad Ikrar Yamin, Son Kuswadi, Sritrusta Sukaridhoto   +2 more
doaj   +1 more source