معرفی
Barbara Bazzana is an active Researcher specializing in Robotics and Mechatronics with a focus on unmanned aerial systems control. Her work integrates computer vision and machine learning to solve complex navigation challenges in multi-rotor platforms, particularly through novel applications of diffusion models and experimental force modeling.
Her core research domains include:
- Visual servoing for UAV autonomous navigation
- Denoising diffusion probabilistic models in robotics
- Multi-rotor aerodynamics and cross-influence effects
- Real-time propeller force modeling
- Latent space representations for control systems
Analysis of her 2024-2025 publications reveals a strong trend toward merging generative AI with physical UAV control systems. Her work demonstrates how return-conditioned latent diffusion models can enable image-based servoing without explicit state estimation, while her propeller force research provides experimentally validated solutions for multi-rotor instability caused by aerodynamic interference. Both threads emphasize practical implementation in real-world aerial systems rather than purely theoretical exploration.
