Papers
8
Total Citations
232
H-Index
6
About
Hind Taud is a leading researcher in the field of wheeled mobile robotics, with a particular focus on advanced control systems and hierarchical controller design. Her most significant contributions lie in developing robust, multi-level control architectures that integrate the dynamics of all robotic subsystems—mechanical structure, actuators, and power electronics—a holistic approach that has set her work apart. Her 2018 paper on robust switched tracking control for differential drive robots, which has garnered 75 citations, introduced a novel hierarchical controller that simultaneously addresses trajectory tracking and actuator dynamics. This work was further validated through experimental implementation in a 2017 study (31 citations). Taud has also pioneered the integration of renewable energy sources into mobile robotics, as demonstrated in her 2024 and 2025 papers on solar-powered robots, which tackle obstacle avoidance and bidirectional trajectory tracking for the first time in literature. Her 2020 paper on supervised learning for next-best-view in 3D reconstruction (83 citations) showcases her versatility, extending her expertise into perception and machine learning. Through her comprehensive, systems-level approach, Taud has advanced the practical deployment of autonomous mobile robots in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1Supervised learning of the next-best-view for 3d object reconstruction83 citations · 2020
- 2
- 3
- 4
- 5
- 6
- 7Trajectory Tracking Task in Wheeled Mobile Robots: A Review5 citations · 2014
- 8Ackerman Mobile Robot with Arm3 citations · 2016