Eugene V. Chepin
Moscow Engineering Physics Institute, Institute of Engineering Physics
Papers
11
Total Citations
124
H-Index
6
About
Eugene V. Chepin is a researcher at the forefront of assistive robotics and brain-computer interfaces (BCI), with a focus on developing intelligent control systems for individuals with severe motor disabilities. His most impactful work, "The Control System Based on Extended BCI for a Robotic Wheelchair" (52 citations), pioneers multi-channel control by integrating BCI with voice and gesture commands, offering a lifeline to patients who cannot use traditional joysticks. Chepin’s key contributions include a decomposition method for managing redundant control signals and a decision-making system that resolves conflicting commands from multiple input channels, enhancing reliability and safety. He has also explored the influence of emotional states on BCI performance, proposing methods to detect operator emotions and mitigate artifacts that degrade control quality. Beyond BCI, Chepin applies convolutional neural networks to mobile robot navigation, improving obstacle detection and path planning. His work on cloud robotics and navigation algorithm evaluation frameworks further demonstrates his versatility. With over 100 total citations and a consistent focus on practical, user-centered solutions, Chepin’s research directly addresses the challenges of human-robot interaction, making robotic assistance more accessible and dependable for disabled users.
Research Focus
Key Achievements
Top Papers
- 1The Control System Based on Extended BCI for a Robotic Wheelchair52 citations · 2018
- 2The Decision-Making System for a Multi-Channel Robotic Device Control15 citations · 2018
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- 10The Framework for robotic navigation algorithms evaluation3 citations · 2017