Papers

6

Total Citations

34

H-Index

4

About

Valerii Serpiva is an emerging researcher at the intersection of robotics, human-robot interaction, and autonomous systems, with growing contributions across both industrial and field robotics applications. His most recognized work, CobotAR (2021, 13 citations), introduced a novel augmented reality framework enabling gesture-based human-robot interaction without wearable devices, leveraging omnidirectional projection and deep neural network-based gesture recognition — a meaningful step forward in accessible, collaborative robotics interfaces. A significant thread of Serpiva's research addresses autonomous systems for seismic exploration, a notoriously dangerous and resource-intensive domain. His work on UAV-based seismic sensor deployment and the Autonomous Seismic Acquisition Device (ASAD) demonstrates a practical commitment to replacing human labor in hazardous environments with flexible, cost-effective robotic solutions, accumulating citations that reflect steady interest from the geophysical and robotics communities. Perhaps most ambitiously, Serpiva has contributed to conceptualizing Industry 6.0 — a vision of fully autonomous manufacturing driven by generative AI and heterogeneous robot swarms responding to natural language instructions. Collectively, his body of work signals a researcher steadily bridging cutting-edge AI with real-world robotic deployment, making his output particularly valuable for students interested in applied autonomy and next-generation human-machine collaboration.

Research Focus

Key Achievements

4
H-Index
6
Papers
34
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: 2025 (2 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Skolkovo Institute of Science and Technology, Russian Space Systems

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago