Jayaram Kollipara
Papers
1
Total Citations
3
H-Index
1
About
Jayaram Kollipara is a researcher specializing in robotics, computer vision, and autonomous systems, with a particular focus on mobile robot navigation and three-dimensional environmental mapping. His most recognized work, "Cost-Effective Stereo Vision System for Mobile Robot Navigation and 3D Map Reconstruction" (2014), addresses one of the fundamental challenges in robotics: enabling a mobile robot to accurately localize itself within an unknown environment while simultaneously constructing a map of that environment — a problem commonly known as Simultaneous Localization and Mapping (SLAM). Kollipara's contribution stands out for its practical orientation; rather than relying on expensive laser range finders, sonar sensors, or artificial landmarks that characterize many conventional navigation systems, his approach leverages stereo vision as a cost-effective alternative, making advanced robotic navigation more accessible and scalable. This work has garnered 3 citations, reflecting its relevance within a specialized and technically demanding field. Kollipara's research represents meaningful progress toward affordable, vision-based autonomous systems, contributing to the broader goal of deploying intelligent robots in real-world environments where cost and adaptability are critical considerations.
Research Focus
Key Achievements
Top Papers
- 1