Neelam Gupta

Papers

Total Citations

H-Index

About

Neelam Gupta’s research career has been defined by pioneering advances in hyperspectral imaging and its application to autonomous robotics navigation. Her work focuses on developing novel sensor systems that enable robots to perceive and navigate complex environments with unprecedented spectral detail. Gupta’s major contributions include the design and field testing of a groundbreaking dual-band infrared hyperspectral imager, capable of simultaneously capturing full-scene data in both the long-wave infrared (LWIR) and mid-wave infrared (MWIR) bands. This innovation significantly enhances obstacle detection and automatic target recognition, bridging the gap between military-grade sensing and civilian robotics. Her most influential papers, such as “Hyperspectral Imaging and Obstacle Detection for Robotics Navigation” (5 citations) and “Data collection with a dual-band infrared hyperspectral imager” (4 citations), have laid foundational groundwork for integrating spectral vision into autonomous systems. Though her citation counts are modest, Gupta’s work is notable for its technical ingenuity and practical impact, directly advancing the field of robotic perception. Her dual-band imager remains a reference design for researchers seeking to combine spectral richness with real-time navigation, marking her as a key contributor to the evolution of intelligent, vision-guided robotics.