Harish Muleva
Papers
1
Total Citations
5
H-Index
1
About
Harish Muleva is a researcher whose work sits at the intersection of robotics, computer vision, and intelligent automation. His most-cited paper, "Night Vision Bot using Dynamic IR and Object Detection" (2021), demonstrates a focused contribution to practical, real-world robotics—specifically, enhancing autonomous systems for low-visibility environments. By integrating dynamic infrared sensing with object detection algorithms, Muleva addresses a critical challenge in field robotics: enabling reliable navigation and target identification in complete darkness. This work, which has garnered 5 citations, reflects a broader commitment to reducing human workload and improving operational efficiency through smart automation. Muleva’s research is driven by the conviction that even complex engineering tasks can be simplified through thoughtful robotic design, minimizing human intervention while maximizing system reliability. His contributions are particularly relevant for applications in surveillance, search-and-rescue, and autonomous inspection, where robust night vision capabilities are essential. Through his focused efforts, Muleva exemplifies how targeted engineering solutions can extend the practical reach of robotics into challenging, real-world scenarios.
Research Focus
Key Achievements
Top Papers
- 1Night Vision Bot using Dynamic IR and Object Detection5 citations · 2021