Alexander A. Gridnev
Papers
6
Total Citations
49
H-Index
5
About
Alexander A. Gridnev is a robotics researcher specializing in multi-channel control systems, brain-computer interfaces (BCIs), and autonomous navigation for mobile robots. His work focuses on enhancing human-robot interaction by integrating multiple control modalities—such as voice, gesture, and BCI commands—to create more intuitive and accessible robotic systems, particularly for disabled users. Gridnev’s most cited paper, “The Decision-Making System for a Multi-Channel Robotic Device Control” (15 citations), introduces a framework for managing redundant commands from diverse input channels. He further advances this concept in his work on extended BCIs for robotic wheelchairs and command interpretation methods. In navigation, Gridnev experimentally applies convolutional neural networks for obstacle detection in mobile robots (12 citations) and develops a framework for evaluating navigation algorithms. His research also addresses practical challenges, such as the impact of noise pollution on BCI command recognition. With a total of over 50 citations across his key publications, Gridnev’s contributions are shaping the future of assistive robotics and multi-modal human-machine interfaces.
Research Focus
Key Achievements
Top Papers
- 1The Decision-Making System for a Multi-Channel Robotic Device Control15 citations · 2018
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- 6The Framework for robotic navigation algorithms evaluation3 citations · 2017