Bhaskar Nandi

Papers

Total Citations

H-Index

About

Bhaskar Nandi is a researcher whose work bridges the gap between human perception and robotic autonomy. His primary focus lies in developing advanced sensing and analytics systems for remote inspection, a field critical for infrastructure safety and industrial maintenance. His most-cited paper, "Human-Like Sensing for Robotic Remote Inspection and Analytics" (2016), has garnered 13 citations, establishing a foundation for integrating intuitive, human-like feedback into robotic platforms. This work is notable for its emphasis on translating complex sensor data into actionable, operator-friendly insights, enhancing the efficiency and safety of inspections in hazardous or inaccessible environments. Nandi’s contributions are particularly impactful in the context of Industry 4.0, where his research supports the shift toward intelligent, semi-autonomous systems. By prioritizing human-robot collaboration, he has helped advance the practical deployment of robotics in real-world settings, making his work a valuable reference for students and engineers exploring the intersection of sensor technology, data analytics, and autonomous systems.