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About

Dhrubojyoti Banerjee is a researcher whose work lies at the intersection of brain-computer interfaces, multi-robot systems, and intelligent motion planning. His most impactful contribution, "Implementation of EEG based control of remote robotic systems" (14 citations), pioneered a novel approach to controlling mobile robots through encoded sequences of arm movements derived from motor imagery in electroencephalographic measurements—a method that uniquely emphasizes privacy and secrecy in neural control. Banerjee further advanced multi-robot coordination with his adaptive memetic algorithm for path-planning (6 citations) and introduced a predictive principle for dynamic obstacle avoidance (4 citations), enabling robots to anticipate the linear motion of obstacles that change direction at regular intervals. His work on real-time motion planning using fuzzy logic and sensory-data extraction (2 citations) demonstrates a commitment to practical, reactive strategies for robots navigating unknown environments. Collectively, Banerjee’s research addresses fundamental challenges in autonomous robotics—from secure neural interfaces to collision-free multi-agent navigation—laying groundwork for more intelligent, adaptive robotic systems.