Subash Chandra Bose
Papers
1
Total Citations
20
H-Index
1
About
Dr. Subash Chandra Bose is a leading researcher in intelligent robotic control systems, with a primary focus on fault detection, state estimation, and the integration of machine learning into automated manufacturing. His most-cited work, "Fault detection and state estimation in robotic automatic control using machine learning" (2023), has garnered 20 citations and represents a significant contribution to enhancing the reliability and precision of industrial robotic systems. In this study, Bose developed novel algorithms that enable real-time monitoring and diagnosis of faults in robotic components—such as end effectors and anchors—thereby improving service quality and operational safety in commercial and industrial settings. His research directly addresses the critical need for robust automation in manufacturing lines, where even minor failures can lead to costly downtime. By bridging the gap between theoretical machine learning models and practical robotic control, Bose's work has been recognized for its potential to transform industrial automation. His achievements underscore a commitment to advancing autonomous systems, making him a notable figure in the field of robotics and intelligent control.
Research Focus
Key Achievements
Top Papers
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