Oussama Alyounes

Skolkovo Institute of Science and Technology

Papers

3

Total Citations

13

H-Index

2

About

Oussama Alyounes is an emerging robotics researcher whose work sits at the dynamic intersection of human-robot interaction (HRI), wearable robotics, and computer vision. His research focuses on developing innovative systems that enhance safety, intuitive control, and physical collaboration between humans and robotic platforms in real-world environments. His most recognized contribution, ArUcoGlide, introduced a novel wearable 2-DoF robot combining position tracking with haptic feedback to safeguard human operators during collaborative robotic tasks — a work that has already garnered 7 citations since its 2023 publication. Building on this foundation, his MoveTouch project further advanced safe HRI by integrating motion capture with wearable tactile displays, demonstrating a consistent commitment to embodied, sensory-rich human-robot interfaces. His 2024 work, OmniCharger, expanded his scope into autonomous electric vehicle charging, leveraging CNN-based hand gesture recognition through teleconference interfaces — reflecting both his computer vision expertise and awareness of emerging sustainable transportation needs. Across his growing body of work, Alyounes demonstrates a talent for engineering practical, low-cost solutions to complex human-robot collaboration challenges, positioning him as a promising voice in the next generation of interactive robotics research.

Research Focus

Key Achievements

2
H-Index
3
Papers
13
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
ArUcoGlide: a Novel Wearable Robot for Position Tracking and Haptic Feedback to Increase Safety During Human-Robot Interaction
7 citations · 2023
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Skolkovo Institute of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago