Viktor Rakhmatulin

Skolkovo Institute of Science and Technology

Papers

4

Total Citations

25

H-Index

4

About

Viktor Rakhmatulin is a researcher at the forefront of human-robot interaction (HRI) and augmented reality (AR), with a focus on making robotic systems more intuitive and accessible. His work centers on developing multimodal interfaces that bridge the gap between humans and machines, particularly through gesture recognition and haptic feedback. Rakhmatulin’s most notable contribution is **CobotAR**, an AR technology that enables multi-user collaboration with robots using omnidirectionally projected images and deep neural network-based gesture recognition—eliminating the need for wearable devices. This work has garnered 13 citations and represents a significant step toward seamless, natural HRI. He has also pioneered applications in electric vehicle (EV) automation, including **OmniCharger**, a CNN-based hand gesture interface for teleconference-operated charging robots, and a deep learning-based pose estimation system for plug-in tasks. His **CoboGuider** project introduces haptic potential fields for safe human-robot collaboration, enhancing speed and separation monitoring in industrial settings. With a growing citation footprint and a clear trajectory toward practical, real-world robotics solutions, Rakhmatulin is shaping the future of interactive automation—from factories to EV charging stations.

Research Focus

Key Achievements

4
H-Index
4
Papers
25
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
CobotAR: Interaction with Robots using Omnidirectionally Projected Image and DNN-based Gesture Recognition
13 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Skolkovo Institute of Science and Technology

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago