Neil Alishev
Papers
2
Total Citations
20
H-Index
2
About
Neil Alishev is a robotics researcher whose work centers on autonomous mobile robot navigation, with a particular emphasis on robust localization and mapping in challenging environments. His key contributions lie in developing practical algorithms for network-aware robot control and sensor integration for Simultaneous Localization and Mapping (SLAM). In his most-cited work (2018, 16 citations), Alishev introduced a novel network failure detection module that analyzes incoming UDP packets to enable a crawler mobile robot to autonomously return to a safe location when communication is lost—a critical capability for real-world deployment. This algorithm elegantly combines SLAM and path planning to ensure reliable operation even under network instability. His subsequent research (2018, 4 citations) focused on the Russian Servosila Engineer mobile robot, where he designed an optimal integration strategy for an extra laser range finder to enhance SLAM accuracy. This work demonstrates his hands-on approach to solving practical sensor fusion problems. Alishev’s research is particularly valuable for students and engineers working on field robotics, where communication failures are common, and his methods offer a blueprint for building more resilient autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2