Prakarsh Kaushik
Papers
1
Total Citations
5
H-Index
1
About
Prakarsh Kaushik is a researcher advancing the frontiers of autonomous multi-robot systems, with a primary focus on multi-UAV coordination, formation control, and object tracking in complex, dynamic environments. His most cited work, "On Learning Multi-UAV Policy for Multi-Object Tracking and Formation Control" (2021), tackles the formidable challenge of enabling multiple unmanned aerial vehicles to autonomously navigate and maintain formation while cooperatively tracking moving targets under partial observability. This research bridges reinforcement learning and multi-agent systems, offering scalable policies for real-world deployment. With growing citation impact, Kaushik’s contributions are particularly relevant to applications in surveillance, search-and-rescue, and environmental monitoring. His work stands out for integrating learning-based approaches with traditional control theory, addressing both theoretical and practical hurdles in continuous, partially-observable settings. As a rising voice in robotics and autonomous systems, Kaushik continues to shape how teams of drones can operate intelligently and collaboratively, pushing the boundaries of what is possible in decentralized, real-time decision-making.
Research Focus
Key Achievements
Top Papers
- 1