Amarnath Banerjee
Papers
2
Total Citations
29
H-Index
2
About
Amarnath Banerjee is a researcher whose work sits at the intersection of robotics, intelligent scheduling, and simulation-based optimization. His primary research focus is on developing advanced motion control and scheduling algorithms for autonomous systems, with a particular emphasis on household robotic applications. Banerjee’s major contribution lies in his innovative approach to multi-cycle scheduling for vacuum cleaning robots, where he addresses a critical gap in existing path planning research. While most studies generate similar paths for each cleaning cycle based on a single tour of a space, Banerjee’s work introduces a more sophisticated, simulation-driven optimization framework that considers the overall scheduling across multiple cleaning cycles. This allows for more efficient and adaptive robot behavior, reducing redundancy and improving coverage. His most-cited paper, “Intelligent scheduling and motion control for household vacuum cleaning robot system using simulation based optimization” (2015), has garnered a combined 29 citations, reflecting its relevance in the growing field of service robotics. Banerjee’s research is particularly notable for bridging the gap between theoretical optimization and practical, real-world robot deployment, making his work a valuable reference for students and researchers interested in intelligent automation and smart home technologies.
Research Focus
Key Achievements
Top Papers
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