Sourav Raxit

Chittagong University of Engineering & Technology, University of New Orleans

Papers

Total Citations

H-Index

About

Sourav Raxit is an emerging researcher whose work sits at the intersection of computer vision, robotics, and autonomous systems. His research focuses on enabling more intuitive and intelligent human-machine interaction, with particular emphasis on gesture-based control systems and vision-guided autonomous navigation. Raxit's most recognized contribution is his 2021 work on vision-based hand gesture recognition for robotic hand control, which has accumulated 30 citations and addresses a critical challenge in assistive robotics — moving beyond traditional input devices like keyboards and mice toward more natural, direct human control interfaces. This work reflects a broader commitment to making robotics more accessible and responsive to human intent. Building on his foundation in computer vision, Raxit expanded his scope to unmanned aerial vehicles (UAVs) with his 2024 paper "YoloTag," which introduces a robust fiducial marker-based navigation framework designed to improve UAV spatial awareness and safe operation in human-shared environments. Though recently published, this work signals a promising trajectory toward seamless human-robot coexistence in dynamic spaces. Raxit's portfolio demonstrates a consistent drive to bridge perception and autonomy, making him a researcher worth following as the fields of HRI and autonomous robotics continue to rapidly evolve.