Papers

7

Total Citations

214

H-Index

5

About

Sujit Rajappa is a leading researcher in aerial robotics, with a focus on the control, coordination, and physical interaction of multirotor unmanned aerial vehicles (UAVs). His most impactful work addresses the fundamental challenge of enabling multiple UAVs to operate autonomously and safely in dynamic environments. Rajappa’s key contributions include the development and experimental validation of a distributed control algorithm for formation balancing and maneuvering, which allows a group of quadrotors to simultaneously achieve and maintain a prescribed shape (65 citations). He has also pioneered robust nonlinear control methods for executing nontrivial maneuvers and obstacle avoidance under disturbances (46 citations), and designed novel architectures for physical human-UAV interaction, moving beyond traditional interfaces like joysticks (45 citations). Further advancing multi-robot systems, his work on decentralized model predictive control (MPC) enables robust obstacle avoidance in target tracking scenarios (42 citations). With over 200 total citations, Rajappa’s research is foundational for applications in cooperative payload transport, search and rescue, and human-robot collaboration, establishing him as a key figure in the evolution of autonomous aerial systems.

Research Focus

Key Achievements

5
H-Index
7
Papers
214
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
A Distributed Control Approach to Formation Balancing and Maneuvering of Multiple Multirotor UAVs
65 citations · 2018
📈 Most Prolific Year: 2017 (3 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: University of Tübingen, Max Planck Institute for Biological Cybernetics, Université Nantes Angers Le Mans

Top Papers

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  6. 6
    Towards Human-UAV Physical Interaction and Fully Actuated Aerial Vehicles
    4 citations · 2017
  7. 7

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago