Karthik Taranath
Papers
1
Total Citations
2
H-Index
1
About
Karthik Taranath is a robotics researcher focused on advancing autonomous navigation in complex outdoor environments. His work centers on multi-modal perception, terrain traversability analysis, and the integration of geometric, semantic, and environmental cues for robust robotic mobility. His most notable contribution is the development of the Global Navigation Dataset (GND), a comprehensive multi-modal dataset featuring LiDAR and camera data for outdoor campus environments. This dataset enables robots to reason about terrain characteristics, environmental semantics, and geometric structures simultaneously—a critical step beyond indoor or structured settings. Although early in his career, his work has already garnered attention, with his flagship 2025 paper accumulating 2 citations. Taranath’s research addresses the fundamental challenge of enabling mobile robots to navigate large-scale, unstructured outdoor spaces safely and intelligently. By providing a benchmark for multi-category traversability, he is helping to bridge the gap between controlled lab environments and real-world deployment. His contributions are particularly relevant for applications in autonomous delivery, field robotics, and planetary exploration, where reliable outdoor navigation remains a key bottleneck.
Research Focus
Key Achievements
Top Papers
- 1