D Sripad Krishna
Papers
1
Total Citations
5
H-Index
1
About
D Sripad Krishna is a researcher focused on autonomous navigation and path planning for robotic systems, particularly in unstructured or partially unknown environments. His most cited work, "Aerial assisted path planning for terrestrial rover without complete environment map" (2015), introduces a novel approach that leverages aerial imagery to guide ground rovers when full environmental maps are unavailable—a critical challenge in field robotics. This contribution addresses the gap between aerial and ground-based perception, enabling more robust navigation in scenarios like planetary exploration or disaster response. With 5 citations, this paper has influenced subsequent studies in multi-robot coordination and sensor fusion. Krishna’s research integrates graph search techniques with real-time data from aerial platforms, advancing the practical deployment of autonomous rovers in complex terrains. His work stands out for its pragmatic solution to map uncertainty, offering a scalable framework for cooperative robotic systems. By bridging aerial and terrestrial autonomy, Krishna has contributed to safer, more efficient path planning in environments where complete prior maps are infeasible, making his research valuable for students and engineers working on field robotics and autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1