Results 141 to 150 of about 627,413 (249)
Position Searching by Robot Hand with Pneumatic Sensors
Hideo Hanafusa, Haruhiko Asada
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Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
A multi-modal sensing system for human-robot interaction through tactile and proximity data. [PDF]
Laudante G+3 more
europepmc +1 more source
Incidence of So-called Robot Disease in Cattle in Japan
MOEKO MOTOI, C. Ushimi
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A curvilinear snake arm robot with gripper-axis fibre-optic image processor feedback [PDF]
W.K. Taylor, D. Lavie, I.I. Esat
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In this manuscript, the processability of X2CrNiMo17‐12‐2 powder coated with silicon carbide, silicon, and silicon nitride nanoparticles is investigated. The amount of nanoparticles varies from 0.25 to 1 vol%. By coating the powder feedstock material with nanoparticles, an enlargement of the process window and an increase in the build rate are achieved.
Nick Hantke+5 more
wiley +1 more source
Research on a Visually Assisted Efficient Blind-Guiding System and an Autonomous Shopping Guidance Robot Arm Adapted to the Complex Environment of Farmers' Markets. [PDF]
Liu M+5 more
europepmc +1 more source
Stability and Robustness of Some Feedback Control Schemes for Robot Manipulators
Fumio Miyazaki, Suguru Arimoto
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Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source
Decentralized Multi-Robot Navigation Based on Deep Reinforcement Learning and Trajectory Optimization. [PDF]
Bi Y, Luo J, Zhu J, Liu J, Li W.
europepmc +1 more source