Sowrabh Nayak

Papers

Total Citations

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About

Sowrabh Nayak’s research lies at the intersection of autonomous robotics, computer vision, and embedded systems, with a focus on enabling intelligent navigation for indoor environments. His most-cited work, “Depth Camera based Autonomous Mobile Robot for Indoor Environments” (2018), addresses the foundational challenge of equipping robots with real-time perception and decision-making capabilities using depth-sensing technology. By integrating advances in AI and embedded processing, Nayak’s contributions help bridge the gap between theoretical computer vision and practical robotic deployment, particularly in cluttered or dynamic indoor spaces. While his citation count is modest, his work reflects a hands-on, systems-level approach to robotics—emphasizing the integration of hardware and software for autonomous operation. Nayak’s research is especially relevant for students and engineers exploring cost-effective, vision-based navigation solutions. His focus on depth cameras and embedded processors highlights a pragmatic path toward accessible robotics, making his work a valuable reference for those building autonomous mobile robots in real-world indoor settings.