Mira Haghpanah
I am a deep-learning driven robotics specialist focused on CNN-based perception and autonomous navigation in ROS.
About
I am a deep-learning driven robotics specialist focused on CNN-based perception and autonomous navigation in ROS. I build end-to-end pipelines for data annotation, real-time detection, social costmaps, and path planning/SLAM for reliable mobile robots.
In interdisciplinary teams, I blend deep learning with computer vision (YOLO-NAS, OAK-D) to detect people and mobility aids in real time and translate detections into social path planning. I have led experiments, dataset creation, and system validation in simulation and lab environments.
- 9 years' experience
- Joined January 2026
Languages
- EnglishFluent
- FrenchFluent
- Spanish; CastilianBeginner
- PersianFluent
Industry experience
- Software & Internet
- Education
- Professional Services
- Other
Work experience
Worked on assistive mobile robotics within an interdisciplinary team, developing ROS-based navigation and perception modules for an intelligent wheelchair. Combined deep learning and computer vision (YOLO-NAS, OAK-D) to detect people and mobility aids in real time, integrating this perception into social path-planning strategies. Led experiments, dataset creation, and system validation in simulation and lab environments.
Contributed to product R&D through design validation, technical documentation, and hardware–software integration. Collaborated across teams to refine system performance and ensure reliable prototypes.
Coordinated projects and data workflows with technical and client teams to deliver data-driven insights. Developed dashboards and analyzed trends to support strategic decision-making. Implemented continuous process improvements to enhance operational efficiency.
Education
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