Alexandr Krasnov

ITMO University

Papers

2

Total Citations

10

H-Index

2

About

Alexandr Krasnov is a researcher at the forefront of rehabilitation robotics and intelligent control systems. His work centers on developing intuitive human-machine interfaces that bridge the gap between neural signals and robotic assistance. Krasnov’s most notable contribution is a pioneering system that integrates EMG and EEG signals to enable intuitive control of upper extremity exoskeletons and other mechatronic devices. This technology allows individuals with varying degrees of musculoskeletal damage to control an apparatus simply by thinking about the desired movement, a breakthrough that directly enhances the quality of life for patients. His research also extends to dynamic positioning systems for nonlinear MIMO plants, including surface robotic vessels, demonstrating a broad expertise in advanced control theory. With his most-cited work garnering 7 citations, Krasnov’s impact is felt in the niche but critical field of assistive robotics, where his innovations promise more natural and effective rehabilitation. His achievements highlight a commitment to merging neuroscience with engineering, offering a compelling vision for the future of human-robot interaction.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Intuitive control for robotic rehabilitation devices by human-machine interface with EMG and EEG signals
7 citations · 2012
📈 Most Prolific Year: 2012 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: ITMO University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago