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Review on Fault Diagnosis and Fault-Tolerant Control Scheme for Robotic Manipulators: Recent Advances in AI, Machine Learning, and Digital Twin
The overarching goal of this article is to present a comprehensive perspective on the current state of fault diagnosis and fault-tolerant control within the context of robotic manipulators, positioning our exploration within the broader framework of AI, ML, and DTT advancements.
Optimized Task Assignment and Predictive Maintenance for Industrial Machines using Markov Decision Process
We propose the design of the decision-making agents based on Markov decision processes.
Review of Contemporary Energy Harvesting Techniques and Their Feasibility in Wireless Geophones
However, due to the random and intermittent nature of the harvested energy, it is important that geophones must be equipped to tap from several energy sources for a stable operation.
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