Pavel M. Trivailo
Papers
11
Total Citations
374
H-Index
8
About
Pavel M. Trivailo is a multidisciplinary researcher whose work spans brain-computer interfaces (BCI), robotics, structural dynamics, and aerospace systems. He is perhaps best known for his highly influential contributions to EEG-based BCI control of lower-limb assistive robots, a 2018 paper that has garnered an impressive 237 citations and helped establish new directions in neural-controlled rehabilitation technology. This work demonstrated how deciphered brain signals from the human scalp could be translated into actionable commands for external assistive devices, opening pathways for individuals with motor impairments. Trivailo has made significant strides in advancing lower-limb motor imagery classification — an underexplored area compared to upper-limb BCI research — by applying common spatial pattern techniques to foot and knee extension tasks, furthering the development of more intuitive neuroprosthetics. His robotics work includes decentralized vibration control of flexible manipulators using piezoelectric transducers, optimal motion planning for multi-link robotic arms, and vision-based servo control for spacecraft capture applications, reflecting a strong interest in precision engineering. Earlier contributions in nonlinear finite element modelling and optimal parameter estimation of dynamical systems demonstrate the mathematical rigor underpinning his broader research portfolio. Collectively, his work bridges neuroscience, control engineering, and aerospace, making him a versatile and impactful contributor to modern engineering research.
Research Focus
Key Achievements
Top Papers
- 1EEG-Based BCI Control Schemes for Lower-Limb Assistive-Robots237 citations · 2018
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- 4Motor imagery based EEG features visualization for BCI applications19 citations · 2018
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- 7Light-Tracking Kinematics of Mobile Platform8 citations · 2013
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- 10Multi-Constrained Optimal Control of 3D Robotic Arm Manipulators2 citations · 2009