Papers

3

Total Citations

21

H-Index

3

About

Iana Zhura is an emerging robotics researcher whose work sits at the intersection of legged robotics, multi-agent systems, and neural scene representation. Her research focuses on developing intelligent frameworks that enable quadruped robots to perceive, navigate, and operate effectively in complex real-world environments. Zhura's most recognized contribution is HyperDog, an open-source quadruped robot platform built on ROS2 and micro-ROS, which has garnered 12 citations since its 2022 publication and represents a meaningful step toward accessible, community-driven legged robotics development. Building on this foundation, her 2023 work on NeuroSwarm introduced a novel multi-agent approach combining UAVs with neural 3D scene reconstruction and segmentation to guide quadruped navigation — earning 6 citations and demonstrating her interest in collaborative robotic systems. Her LocoNeRF framework further advances the field by applying Neural Radiance Fields to visual localization via Structure from Motion, improving positional accuracy for mobile robots. Across her publications, Zhura consistently bridges hardware design with cutting-edge perception and localization techniques. Though early in her career, her growing citation record and innovative contributions position her as a promising voice in autonomous robotics research, particularly for those interested in robust robot locomotion and environmental awareness.

Research Focus

Key Achievements

3
H-Index
3
Papers
21
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
HyperDog: An Open-Source Quadruped Robot Platform Based on ROS2 and micro-ROS
12 citations · 2022
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Russian Space Systems, Skolkovo Institute of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 18 days ago