Results 221 to 230 of about 1,708,308 (346)

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source

EconoGNN: A graph neural network framework for temporal economic resilience insights. [PDF]

PLoS One
Araujo M, Rodrigues F, Sousa E.
europepmc   +1 more source

Graph Convolutional Neural Network [PDF]

Procedings of the British Machine Vision Conference 2016, 2016
Michael Edwards, Xianghua Xie
openaire   +2 more sources

Grip and Grasp: Lizard Claw Inspired Robotic Manipulators

Advanced Robotics Research, EarlyView.
Our study identifies the most effective lizard claw shape for use as an end effector in a bioinspired robotic manipulator. By examining key geometric features and combining them into comparative indices, the Crotaphytus collaris claw is found to be the best fit.
Hyeon Lee, Kate Douglas, Asyiah Bray, Andrea Rummel, Parvez Alam   +4 more
wiley   +1 more source

Node classification of complex network based on enhanced graph neural network and contrastive learning

Dianxin kexue
Node classification methods of complex network are mostly realized based on node representation learned by the graph neural network, the graph neural network encodes local structure information of complex networks through neighborhood aggregation ...
XU Peiling, WANG Yu, TAN Yanli
doaj  

A multimodal spatio-temporal graph neural network framework for fatigue detection in tennis serving. [PDF]

Front Bioeng Biotechnol
Yuan Y, Wang L, Jia H, Jiao J.
europepmc   +1 more source

Exact combinatorial optimization with graph convolutional neural networks

, 2019
Combinatorial optimization problems are typically tackled by the branch-and-bound paradigm. We propose a new graph convolutional neural network model for learning branch-and-bound variable selection policies, which leverages the natural variable ...
Lodi A., Charlin L., Gasse M., Chetelat D., Ferroni N.   +4 more
core  

MicroRoboScope: A Portable and Integrated Mechatronic Platform for Magnetic and Acoustic Microrobotic Experimentation

Advanced Robotics Research, EarlyView.
This work presents the MicroRoboScope, a highly integrated, compact, and portable microrobotic experimentation platform combining electromagnetic and acoustic actuation with real‐time visual feedback into a single, end‐to‐end device. The system enables closed‐loop control and tracking algorithm experimentation within an accessible and unified hardware ...
Max Sokolich, Yanda Yang, Subrahmanyam Cherukumilli, Fatma Ceren Kirmizitas, Sambeeta Das   +4 more
wiley   +1 more source

Enhancing generalizability in classification of peripheral neural recordings with graph neural network. [PDF]

PLoS One
Ji RQ, Dousty M, Koh RGL, Sejdić E.
europepmc   +1 more source

Intelligent Sky Guardians (InSkyGuard): An Aerial Robotic Swarm for Autonomous Detection and Entrapment of Rogue Multirotors

Advanced Robotics Research, EarlyView.
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings, Levanya Dewanarayana, Iline Shaju, Haider Al‐Wizni, Sampson Marquis, Weicheng Huang, Pooya Sareh   +6 more
wiley   +1 more source