Anup Rao U.

Papers

Total Citations

H-Index

About

Anup Rao U. is a researcher whose work lies at the intersection of robotics, artificial intelligence, and computer vision, with a particular focus on autonomous navigation in indoor environments. His most cited paper, "Depth Camera based Autonomous Mobile Robot for Indoor Environments" (2018), addresses the growing demand for intelligent robots capable of operating seamlessly in human-centric spaces. Leveraging advancements in AI, depth sensing, and embedded processing, Rao’s work contributes to the development of robots that can perceive and navigate complex indoor settings without human intervention. While his citation count is still building—his top paper has garnered 2 citations—this early work signals a foundational contribution to the field of autonomous mobile robotics. Rao’s research is especially relevant as industries increasingly adopt service robots for logistics, healthcare, and domestic assistance. His focus on integrating depth cameras with real-time processing highlights a practical, application-driven approach to robotics. For students and researchers exploring the intersection of computer vision and autonomous systems, Rao’s work offers a clear example of how emerging technologies can be harnessed to create more capable and responsive robots for everyday environments.