Papers

2

Total Citations

7

H-Index

2

About

Aigerim Mussina is a researcher at the intersection of neurorobotics and artificial vision, whose work explores how biological principles can inform the design of intelligent robotic systems. Her key research areas include the control of artificial eye movements, adaptive filtering for visual processing, and the implementation of bio-inspired vision in robotic platforms. Mussina’s most notable contribution is her neurorobotic investigation into the control of artificial eye movements (2018), which has garnered 4 citations and provides foundational insights into how robots can mimic human ocular motion for more natural interaction with their environment. She further advanced this field with her study on adaptive filter-based artificial vision for robotic systems (2019, 3 citations), demonstrating how signal processing techniques can enhance visual perception in machines. Her work is particularly relevant for applications in assistive robotics and human-robot interaction, where precise, adaptive visual tracking is critical. Though her citation counts are modest, Mussina’s research represents a focused and promising contribution to neurorobotics, bridging neuroscience and engineering to create more responsive, human-like robotic vision.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Neurorobotic Investigation into the Control of Artificial Eye Movements
4 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Almaty University of Power Engineering and Telecommunications

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago