About

Zhanibek Darush is an emerging robotics researcher whose work sits at the dynamic intersection of unmanned aerial vehicles, morphogenetic design, and multi-agent systems. His research primarily focuses on developing hybrid aerial-terrestrial robots capable of navigating complex, unstructured environments — a challenge that has significant implications for autonomous inspection, exploration, and monitoring tasks. Darush's most influential contribution, "LocoGear" (2020, 18 citations), introduced a pioneering locomotion framework for robotic landing gear enabling multicopters to traverse uneven surfaces — a capability largely absent in conventional UAV designs. Building on this foundation, he developed the "MorphoGear" platform, a multi-limb morphogenetic UAV capable of flying, walking, and grasping simultaneously, pushing the boundaries of adaptive robot morphology. His more recent work expands into swarm robotics, with "SwarmGear" (11 citations) and "MorphoLander" (7 citations) introducing heterogeneous drone swarms where a morphogenetic leader UAV coordinates smaller drones for extended terrain inspection. Notably, MorphoLander integrates reinforcement learning for autonomous group landing, demonstrating Darush's growing sophistication in combining hardware innovation with intelligent control. With over 44 cumulative citations, his work represents a compelling vision for next-generation autonomous robotic systems.

Research Focus

Key Achievements

4
H-Index
4
Papers
44
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
LocoGear: Locomotion Analysis of Robotic Landing Gear for Multicopters
18 citations · 2020
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: International Information Technologies University, Skolkovo Institute of Science and Technology, Russian Space Systems

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago