Mina Kamel

ETH Zurich

Papers

17

Total Citations

1,964

H-Index

13

About

Mina Kamel is a robotics researcher whose work sits at the intersection of autonomous aerial systems, motion planning, and control theory. Best known for pioneering contributions to exploration and inspection with unmanned aerial vehicles (UAVs), Kamel's 2016 paper introducing the Receding Horizon "Next-Best-View" Planner has become a landmark reference in the field, amassing over 600 citations and establishing a foundational framework for autonomous 3D exploration using randomly generated online path trees. This work, alongside complementary research on coverage path planning and surface inspection, has significantly shaped how aerial robots navigate unknown environments. Kamel's expertise extends deeply into control systems, with influential contributions to nonlinear Model Predictive Control (MPC) for UAV trajectory optimization and tracking — work that has collectively drawn hundreds of citations and bridged the gap between theoretical control design and real-world deployment via the Robot Operating System. Beyond aerial platforms, Kamel contributed to wheeled bipedal robot control, with notable work on the Ascento robot. Applied projects such as PaintCopter, a UAV for autonomous spray painting, and aerial platforms for tree cavity inspection and dexterous manipulation demonstrate a rare ability to translate rigorous theory into practical, real-world robotic systems.

Research Focus

Key Achievements

13
H-Index
17
Papers
1,964
Total Citations
116
Avg Citations/Paper
🏆 Most Cited Paper
Receding Horizon "Next-Best-View" Planner for 3D Exploration
601 citations · 2016
📈 Most Prolific Year: 2016 (7 Papers)
🤝 Key Collaborators: 51
🏛 Institutions: ETH Zurich

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago