Roohan Ahmed Khan
Papers
3
Total Citations
8
H-Index
2
About
Roohan Ahmed Khan is an emerging researcher at the forefront of swarm robotics, autonomous navigation, and human-robot interaction, with a particular focus on heterogeneous robotic systems operating in dynamic, real-world environments. His work addresses one of the most pressing challenges in modern robotics: enabling coordinated fleets of unmanned aerial vehicles (UAVs) and automated guided vehicles (AGVs) to navigate safely and efficiently in complex, unpredictable settings such as warehouses and logistics facilities. Khan's most notable contributions include the development of impedance-based guidance frameworks for heterogeneous swarms, as demonstrated in *HetSwarm* (2025, 4 citations), which pioneered cooperative navigation strategies that account for the complementary strengths and limitations of aerial and ground robots. His subsequent work, *ImpedanceGPT* and *SwarmVLM* (both 2025, 2 citations each), represents a bold integration of vision-language models (VLMs) with impedance control, enabling swarms to intelligently distinguish between living and inanimate obstacles and adapt their behavior accordingly. Collectively accumulating 8 citations within the year of publication alone, Khan's research signals a promising trajectory in intelligent multi-robot systems, positioning him as a rising voice in the field of autonomous robotics and AI-driven control.
Research Focus
Key Achievements
Top Papers
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