Results 41 to 50 of about 35,363 (261)
Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source
Schema Versioning in Data Warehouses [PDF]
As several mature implementations of data warehousing systems are fully operational, a crucial role in preserving their up-to-dateness is played by the ability to manage the changes that the data warehouse (DW) schema undergoes over time in response to evolving business requirements.
GOLFARELLI, MATTEO +3 more
openaire +2 more sources
Leading the Pack: Next‐Generation Batteries for Humanoid Robotics
Humanoid robots challenge traditional and anticipated energy technologies. Humanoid robot benchmarks of runtimes and energy demands for industry applications inform humanoid robot battery design choices at the cell level, pack level, and system level.
Matthew Bergschneider +6 more
wiley +1 more source
In the early stages of a data warehouse project, the designers/administrators have to come up with a decision concerning the design and deployment of the back-stage architecture. The possible options are (a) the usage of a commercial ETL tool, or (b) the development of an in-house ETL prototype. Both cases have advantages and disadvantages. However, in
Simitsis, Alkis +3 more
openaire +3 more sources
Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali +3 more
wiley +1 more source
High Power Density, Low Temperature, Solid Oxide Fuel Cells at Elevated Oxygen Partial Pressure
Elevated pO2${{p}_{{{{\mathrm{O}}}_2}}}$ improves oxygen reduction reaction (ORR) kinetics, thus reducing electrode area specific resistance (ASR). The effect of pO2${{p}_{{{{\mathrm{O}}}_2}}}$ in open circuit potential (OCP) and ASR is demonstrated on both Sr0.5Sm0.5CoO3‐δ‐Gd0.1Ce0.9O2‐δ (SSC‐GDC) composite cathodes and our recently developed nano‐PSC
Samuel A. Horlick +7 more
wiley +1 more source
How Competitive Is Myanmar's Rice Sector? A Comparison of Production Costs and Efficiency
ABSTRACT This paper analyzes the cost competitiveness of rice production in Myanmar by examining production costs, cost efficiency, and the potential effect of improving cost efficiency on the country's global competitiveness. To achieve this, we conduct a comparative analysis of production costs among major rice‐producing countries and estimate the ...
Nandar Aye Chan +3 more
wiley +1 more source
Database Vs Data Warehouse [PDF]
Data warehouse technology includes a set of concepts and methods that offer the users useful information for decision making. The necessity to build a data warehouse arises from the necessity to improve the quality of information in the organization. The
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