Karma Shrestha
Papers
2
Total Citations
6
H-Index
2
About
Karma Shrestha is a robotics researcher whose work focuses on multi-robot perception and sensor fusion, particularly for teams operating in confined or cluttered environments. Her key research areas include cooperative mapping, laser ranging data fusion, and RGB-D integration for autonomous systems. Shrestha’s major contributions address the critical challenge of fusing data from multiple mobile robots working in close proximity—a scenario common in search and rescue, surveillance, and detailed area scanning missions. Her 2013 paper, “Fusion of ranging data from robot teams operating in confined areas,” with 4 citations, introduced methods for combining laser ranging data to enable efficient, collaborative surveying. Building on this, her 2014 work, “Eliminating mutual views in fusion of ranging and RGB-D data from robot teams operating in confined areas,” with 2 citations, tackled the problem of removing redundant or conflicting observations caused by robots’ overlapping fields of view. By solving these interference issues, Shrestha’s research enhances the accuracy and speed of multi-robot mapping, allowing teams to cover larger areas or achieve higher-resolution scans. Her work is foundational for advancing cooperative robotics in challenging, space-constrained environments.
Research Focus
Key Achievements
Top Papers
- 1Fusion of ranging data from robot teams operating in confined areas4 citations · 2013
- 2