Amitava Chatterjee
Saga University, University of Electro-Communications, Jadavpur University
Papers
40
Total Citations
960
H-Index
16
About
Amitava Chatterjee is a prominent researcher in intelligent systems, robotics, and computational intelligence, whose work has profoundly advanced the fields of fuzzy-neural networks, autonomous robot navigation, and simultaneous localization and mapping (SLAM). With over 670 citations across his most influential papers, Chatterjee has established himself as a leading voice in applying bio-inspired optimization techniques to real-world robotics challenges. His most celebrated contribution, a particle swarm optimization (PSO)-based fuzzy-neural network for voice-controlled robots (2005, 206 citations), demonstrated a practical pathway for integrating intelligent learning systems into operational robot platforms. Complementing this, his work on neuro-fuzzy assisted Extended Kalman Filter approaches to SLAM (2007, 88 citations) addressed a critical limitation in mobile robot localization by intelligently estimating uncertain noise parameters. His 2008 paper on fuzzy control for flexible robotic arms (123 citations) offered an elegant LMI-based stability framework for a notoriously difficult control problem. Across his career, Chatterjee has consistently bridged theoretical rigor with engineering applicability, developing stable adaptive controllers, vision-based navigation systems, and human-tracking algorithms for human-robot coexistence. His research offers indispensable tools for students and engineers working at the intersection of artificial intelligence and autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 10Vision Based Autonomous Robot Navigation26 citations · 2012