Papers
4
Total Citations
40
H-Index
3
About
Ildar Babataev is a robotics researcher whose work focuses on advancing quadruped robot perception and locomotion through tactile sensing, open-source platforms, and interactive path planning. His key contributions include the development of **DogTouch**, a system that uses convolutional neural networks (CNNs) and high-density tactile sensors to enable quadruped robots to recognize surface textures—a critical capability for robust locomotion across diverse terrains. This work, which has garnered over 20 citations, draws inspiration from biological systems to help robots “feel” the ground beneath them. Babataev also led the creation of **HyperDog**, an open-source quadruped robot platform built on ROS2 and micro-ROS, which has become a valuable resource for researchers and students seeking accessible, modular hardware and software for legged robotics. Additionally, his **HyperGuider** framework introduces a virtual reality interface for intuitive, interactive path planning in cluttered and multi-terrain environments, addressing the challenge of determining traversability and optimal routes. By combining tactile perception, open-source accessibility, and human-in-the-loop planning, Babataev’s work pushes the boundaries of how legged robots understand and navigate complex real-world environments.
Research Focus
Key Achievements
Top Papers
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