Muhammad Hanif
Tokyo Institute of Technology, Systems Control (United States)
Papers
3
Total Citations
12
H-Index
3
About
Muhammad Hanif is a leading researcher in multi-robot systems and autonomous drone networks, with a focus on large-scale 3D reconstruction and dynamic task allocation. His work bridges control theory and optimization to solve real-world challenges in environmental monitoring and renewable energy infrastructure. Hanif’s most influential paper, "Efficient angle-aware coverage control for large-scale 3D map reconstruction using drone networks" (2024, 6 citations), introduces a novel Voronoi-based coverage method integrated with quadratic programming to optimize drone camera angles for high-fidelity 3D mapping. This approach significantly improves monitoring efficiency over traditional methods. He also pioneered predictive receding-horizon algorithms for multi-robot task allocation with moving targets, as detailed in his 2022 and 2023 papers (3 citations each), which apply linear programming to coordinate drones for mapping direct normal irradiance in thermosolar power plants. These contributions demonstrate Hanif’s ability to combine theoretical rigor with practical applications, advancing autonomous systems for critical infrastructure. His work is essential reading for researchers in robotics, control systems, and sustainable energy.
Research Focus
Key Achievements
Top Papers
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