David Prokhorov
Papers
1
Total Citations
58
H-Index
1
About
David Prokhorov is a leading researcher in robust perception for autonomous systems, with a primary focus on visual simultaneous localization and mapping (SLAM) and its real-world reliability. His most influential work, "Measuring Robustness of Visual SLAM" (2019, 58 citations), addresses a critical gap in the field by systematically evaluating the performance of state-of-the-art RGB-D SLAM algorithms under challenging indoor conditions. Prokhorov’s feasibility study of ORB-SLAM2 and other methods revealed that while these systems achieve impressive accuracy in controlled settings, they remain vulnerable to dynamic environments, lighting changes, and sensor noise—insights that have shaped subsequent research in resilient navigation. Beyond this landmark paper, his contributions extend to developing benchmarking frameworks that quantify SLAM robustness, providing essential tools for the robotics community. Prokhorov’s work is widely cited by engineers and researchers designing autonomous robots for warehouses, homes, and industrial spaces, underscoring his impact on bridging the gap between theoretical SLAM advances and practical deployment. His rigorous approach to failure analysis continues to influence how roboticists evaluate and improve perception systems for real-world operation.
Research Focus
Key Achievements
Top Papers
- 1Measuring robustness of Visual SLAM58 citations · 2019