Mohit Agarwal
Papers
1
Total Citations
20
H-Index
1
About
Mohit Agarwal’s research centers on multi-robot systems, aerial robotics, and sensor fusion, with a particular focus on enabling autonomous collaboration among small Unmanned Aerial Vehicles (UAVs). His most-cited work, “Collaborative 6DoF Relative Pose Estimation for Two UAVs with Overlapping Fields of View” (2018, 20 citations), addresses a foundational challenge in cooperative robotics: accurately estimating the relative transformation between two camera- and inertial-sensor-equipped UAVs. By leveraging overlapping visual fields and inertial data, Agarwal’s approach allows drones to operate without external positioning infrastructure, a critical step toward scalable, decentralized swarms. This contribution has implications for search-and-rescue, environmental monitoring, and precision agriculture, where teams of UAVs must coordinate in GPS-denied environments. Agarwal’s work stands out for its practical focus on small, resource-constrained platforms, bridging theory and real-world deployment. His research not only advances the state of the art in collaborative perception but also inspires further exploration into robust, low-latency estimation methods for dynamic aerial teams. For students and researchers, Agarwal’s contributions highlight the power of combining classical estimation techniques with modern multi-agent systems thinking.
Research Focus
Key Achievements
Top Papers
- 1