Ayush Gupta
Papers
2
Total Citations
14
H-Index
2
About
Ayush Gupta is a leading researcher in multi-agent robotics and autonomous systems, with a focus on heterogeneous swarms of drones and mobile robots. His major contributions center on solving the complex challenge of dynamic landing—enabling unmanned aerial vehicles (UAVs) to autonomously and robustly land on moving platforms, a feat previously unachieved in the field. In his highly cited work, "SwarmHawk: Self-Sustaining Multi-Agent System for Landing on a Moving Platform through an Agent Supervision" (2022, 9 citations), Gupta introduced a novel supervision framework that enhances adaptability in heterogeneous robot-UAV teams during autonomous exploration. His follow-up paper, "SwarmHive: Heterogeneous Swarm of Drones for Robust Autonomous Landing on Moving Robot" (2022, 5 citations), further advanced this by eliminating the need for each drone to carry heavy computer vision hardware, instead leveraging swarm intelligence for coordinated landing. These innovations significantly reduce computational load and energy consumption while improving system resilience. Gupta’s work is pivotal for real-world applications such as search-and-rescue, environmental monitoring, and autonomous logistics, where reliable drone-robot collaboration is essential. His research continues to push the boundaries of swarm autonomy and adaptive multi-agent coordination.
Research Focus
Key Achievements
Top Papers
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