Armaan Garg
Papers
2
Total Citations
7
H-Index
2
About
Armaan Garg is a robotics researcher whose work lies at the intersection of multi-agent systems, autonomous navigation, and real-world disaster response. His primary research focuses on developing intelligent policies for multi-UAV (unmanned aerial vehicle) systems, enabling them to operate effectively in partially observable, dynamic, and continuous environments. Garg’s most cited work, “On Learning Multi-UAV Policy for Multi-Object Tracking and Formation Control” (2021, 5 citations), tackles the dual challenge of cooperative formation control and object tracking, a foundational problem for deploying drone swarms in complex scenarios. He further extends this expertise to critical humanitarian applications in his 2023 paper, “Real-Time Serviceable Path Planning using UAVs for Waterborne Vehicle Navigation during Floods” (2 citations), where he addresses cooperative sensing and coverage for flood-struck regions. This work demonstrates a clear commitment to translating theoretical advances in multi-agent coordination into tangible, life-saving technology. Though early in his career, Garg’s contributions are notable for bridging the gap between robust multi-UAV control and practical, serviceable path planning, establishing him as a promising voice in autonomous systems and field robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2