Papers

3

Total Citations

35

H-Index

2

About

E. Nazarova is a leading researcher in legged robotics, specializing in tactile perception and open-source robot design. Her work focuses on enabling quadruped robots to intelligently interpret and adapt to diverse terrains, bridging the gap between mechanical locomotion and environmental awareness. Nazarova’s most impactful contribution is the **DogTouch** system, which integrates high-density tactile sensors with convolutional neural networks (CNNs) to allow robots to recognize surface textures—a capability inspired by biological sensing in animals and humans. This work, cited over 20 times, has significant implications for robust, real-world robot navigation. She is also the driving force behind **HyperDog**, an open-source quadruped platform built on ROS2 and micro-ROS, which democratizes access to advanced legged robot research by providing a standardized, modular framework. With over a dozen citations, HyperDog has become a valuable resource for labs and hobbyists alike. Nazarova’s contributions are shaping a future where legged robots can walk confidently across any surface, from gravel to grass, with the same intuitive awareness as living creatures.

Research Focus

Key Achievements

2
H-Index
3
Papers
35
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
DogTouch: CNN-based Recognition of Surface Textures by Quadruped Robot with High Density Tactile Sensors
21 citations · 2022
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Moscow Polytechnic University, Skolkovo Institute of Science and Technology

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago