The presented ontological model and methods for conditional and unconditional diagnostics is used to establish cause-and-effect relationships between observed failures and the malfunctions that cause them and provides an effective basis for activating and utilizing the intelligent control system's rich algorithm databases at all levels of the control hierarchy to support increased adaptability.
Objectives.
The work set out to develop diagnostic tools and methods for autonomous robots for the rapid detection of faults based on the analysis of cause-and-effect relationships between observed manifestations and the sources of failures.
Methods.
The paper presents an analytical review of the current sci...
Y. A. Bykovtsev, V. Lokhin, S. V. Manko et al.· Russian Technological Journa...· 1 citation
Robots are being deployed for an increasingly diverse set of purposes, from industrial manufacturing to delivery, inspection, and surgical assistance, and the systems entering these roles are markedly more capable than earlier generations, utilizing learned perception, language-based planning, and multi-sensor input. T...
Karthik Rengarajan, Siddharth Pokuri, J. Gao· International Conference on...· 0 citations
Fault diagnosis is a critical discipline within modern engineering that ensures the operational reliability, structural safety, and maximum availability of complex mechatronic systems. As contemporary automated processes become deeply integrated with mechanical, electrical, and computational sub-units, tracking interna...
R. Ekanayake, T. Bandara· Sri Lankan Journal of Applie...· 0 citations
The main contribution of this paper is to present a system partitioning criterion, i.e. how to divide the control authority of the different subsystems in order to prevent a single failure from triggering a chain of system failures.
Lina M. Mahmoud, M. Saleh, N. H. Abbas· Jurnal Engineering· 0 citations
This study introduces an innovative framework for anomaly detection and handling in multi-robot collaboration within scientific laboratories, addressing challenges posed by complex procedures and precision equipment. We propose a hierarchical approach utilizing large language models (LLMs) for task planning, action dec...
Yang Yang, Jian-Kun Yang, Hai-Bo Lu et al.· IEEE Transactions on Automat...· 0 citations
The problem of path planning is one of the most crucial and challenging issues in the fields of intelligent systems and autonomous robotics. A robot’s ability to move quickly and easily from a starting position to a goal position without hitting anything is directly related to how useful the robot is in real life. This...
Prathyusha Vinukonda, V. Manikandan· Robotics· 0 citations
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