Aleksey Fedoseev
Skolkovo Institute of Science and Technology, Russian Space Systems
Papers
20
Total Citations
125
H-Index
7
About
Aleksey Fedoseev is a robotics researcher whose work spans quadruped locomotion, heterogeneous drone swarms, and human-robot interaction, with a particular focus on developing intelligent, adaptive robotic systems capable of navigating complex real-world environments. His most cited work, "DogTouch" (2022, 21 citations), demonstrated how CNN-based tactile sensing can enable quadruped robots to recognize surface textures, significantly advancing terrain-adaptive locomotion. Complementing this, his open-source "HyperDog" platform (2022, 12 citations) lowered barriers to quadruped research by providing a ROS2 and micro-ROS based development environment accessible to the broader community. Fedoseev has made notable strides in multi-agent aerial systems, contributing the "SwarmGear" and "SwarmHawk" frameworks, which tackle persistent drone inspection and autonomous landing on moving platforms through heterogeneous swarm coordination. His morphogenetic robotics line — including "MorphoGear," "MorphoLander," and reinforcement learning-based landing systems — pushes the frontier of robots that can fly, walk, and manipulate in unstructured terrain. He has also explored haptic teleoperation and anthropomorphic drone avatars, reflecting a broad interest in human-robot interfaces. Across roughly a dozen publications accumulating over 95 citations in just two years, Fedoseev has established himself as a prolific and versatile contributor to modern robotics research.
Research Focus
Key Achievements
Top Papers
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