Vyacheslav Kovalev
Papers
2
Total Citations
4
H-Index
2
About
Vyacheslav Kovalev is a robotics researcher focused on advancing quadrupedal locomotion through the integration of machine learning and classical control. His work centers on two key areas: stable gait generation and intelligent surface recognition for legged robots. In his 2023 paper, "Combining model-predictive control and predictive reinforcement learning for stable quadrupedal robot locomotion," Kovalev addresses the critical challenge of stable gait generation—a fundamental problem that directly impacts mobility over uneven terrain and power efficiency. He proposes a novel framework that merges model-predictive control with predictive reinforcement learning to enhance locomotion stability. His 2024 work, "HyperSurf," introduces a mechanical single-leg setup capable of stepping on various interchangeable surfaces, coupled with a GRU-based neural network for real-time surface recognition. This system also features a real-to-sim transfer pipeline, enabling efficient data collection and simulation-to-reality deployment. While still early in his career, with each paper garnering 2 citations, Kovalev's contributions represent promising steps toward more adaptive and robust legged robots, blending control theory with deep learning to push the boundaries of autonomous locomotion.
Research Focus
Key Achievements
Top Papers
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- 2