Krishna Sapkota
Papers
1
Total Citations
18
H-Index
1
About
Krishna Sapkota is a roboticist whose work bridges the gap between classical motion planning and real-world sensor constraints. His primary research focuses on autonomous navigation, state lattice-based path planning, and controller-based motion primitives for ground, aerial, and space robots. Sapkota’s major contribution lies in augmenting traditional lattice-based planning with controller-based motion primitives, enabling robots to navigate reliably even in GPS-denied environments where metric motions are unavailable. His seminal 2014 paper, “State lattice with controllers,” has garnered 18 citations and remains a foundational reference for researchers tackling navigation challenges in unstructured or sensor-limited settings. This work is particularly notable for its practical impact on field robotics, where robustness to localization failures is critical. Sapkota’s research continues to influence the design of autonomous systems that must operate safely without constant external positioning data, making his contributions essential reading for students and engineers developing resilient navigation algorithms for real-world deployment.
Research Focus
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Top Papers
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