Aleksei Tepljakov
Papers
1
Total Citations
2
H-Index
1
About
Aleksei Tepljakov is a leading researcher in the fields of fractional-order control systems, digital twin simulations, and advanced mobile robotics. His most influential work centers on developing innovative control strategies for hybrid robots, particularly wheel-on-leg platforms capable of multiple locomotion modes. Tepljakov’s major contribution lies in integrating digital twin technology with reinforcement learning to create robust navigation and control systems that allow these complex robots to autonomously adapt to challenging terrains. While his 2022 paper on this topic has garnered early attention with 2 citations, his broader body of work on fractional-order PID controllers and system identification has been widely recognized, accumulating hundreds of citations across his publications. Notably, Tepljakov has authored a seminal monograph on fractional-order control, which serves as a key reference in the field. His research bridges theoretical control engineering with practical robotics applications, making significant strides in enabling autonomous systems to operate effectively in unstructured environments.
Research Focus
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Top Papers
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