Papers
9
Total Citations
91
H-Index
5
About
Suvadeep Banerjee is a researcher specializing in control systems, autonomous systems reliability, and intelligent robotics, whose work bridges classical control theory with modern machine learning and fault-tolerance techniques. His early contribution demonstrated the efficacy of fuzzy logic controllers for robotic manipulator positioning using FIDE software, a foundational paper that has garnered 38 citations and remains a touchstone in applied fuzzy control. Banerjee subsequently pivoted toward a compelling and underexplored challenge: ensuring real-time error detection and resilience in both linear and nonlinear control systems. His cross-layer error detection frameworks, leveraging mapped predictive check states and analog checksums, address critical safety demands in sensor networks, autonomous vehicles, and robotic platforms. More recently, he has integrated machine learning into state-space encoding strategies to enable adaptive, self-learning control law recovery—culminating in the ALERA framework for low-latency adaptation in degraded autonomous systems. Across this body of work, Banerjee has consistently emphasized dependability in cyber-physical systems, from smart grids to robotic harvesting applications. With cumulative citations spanning robotics, signal processing, and fault-resilient control, his research offers meaningful contributions to the growing field of safe and reliable autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Fuzzy logic control of robot manipulator38 citations · 2002
- 2
- 3
- 4Real-time checking of linear control systems using analog checksums9 citations · 2013
- 5Statistical Video Tracking of Pomegranate Fruits7 citations · 2011
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- 8ALERA3 citations · 2019
- 9