Daniil Sakhapov
Papers
2
Total Citations
23
H-Index
2
About
Daniil Sakhapov is a researcher at the forefront of bio-inspired robotics, specializing in insect-inspired visual navigation. His work bridges computational neuroscience and autonomous systems, focusing on how simple neural mechanisms can enable robust, real-world navigation. Sakhapov's major contribution lies in demonstrating that a single-layer artificial neural network can encode and execute complex route navigation on an autonomous robot, directly inspired by the familiar-view scanning strategies observed in insects. His most-cited paper, "Insect-Inspired Visual Navigation On-Board an Autonomous Robot: Real-World Routes Encoded in a Single Layer Network" (2019), has accumulated 23 citations, underscoring its impact on the field. This work is notable for proving that lightweight, biologically plausible algorithms can replace computationally expensive SLAM systems in resource-constrained robots. By successfully translating insect navigation principles into a working robotic platform, Sakhapov has opened new avenues for low-power, efficient autonomous navigation. His research is particularly relevant for students and engineers interested in neuromorphic computing, minimalistic robotics, and the intersection of biology and artificial intelligence.
Research Focus
Key Achievements
Top Papers
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