Curriculum Vitae
Panagiota Grosdouli
Robotics · Robust Autonomy · Uncertainty-Aware AI
Profile
Electrical and Computer Engineer (Integrated MEng, 2026), with experience in machine learning, computer vision and robotic perception.
Education
Five-year Diploma in Electrical & Computer Engineering (Integrated Master's level)
2020–2026Democritus University of Thrace, Xanthi, Greece
Diploma thesis (10/10): Trajectory Prediction of Vulnerable Road Users at Smart Intersections for Road Safety and Autonomous Driving Applications. Overall grade: 7.58/10.
Industry Experience
OZZIE Robotics — Robotics and Computer Vision Internship
July–August 2025 · Thessaloniki, Greece
Curated and annotated a task-specific dataset, trained and evaluated a YOLO-based semantic segmentation model, and contributed to the scene-understanding pipeline for an autonomous delivery robot.
Selected Research Projects
Diploma Thesis: Trajectory Prediction of Vulnerable Road Users at Smart Intersections for Road Safety and Autonomous Driving Applications
Diploma Thesis · VRU Forecasting
Evaluate whether multimodal contextual information improves future-trajectory prediction for pedestrians, cyclists, scooter riders, and motorcyclists compared with trajectory-history-only models.
DynNav: Planning to Preserve Escape Options
Risk & Recoverability-Aware Navigation
Determine whether explicit recoverability estimation can reduce irreversible navigation failures during online replanning without excessive path-length or computation overhead.
Adaptive Multi-Modal SLAM with Uncertainty-Aware Sensor Fusion
Robust SLAM Research
Investigate adaptive fusion of visual, inertial, and event-based sensing under perceptual degradation such as blur, low light, texture scarcity, and rapid motion.
Technical Toolkit
Robotics & Autonomy
- Visual-Inertial Odometry
- SLAM
- Sensor Fusion
- Motion Planning
- ROS 2
- Navigation
AI & Vision
- Python
- PyTorch
- Computer Vision
- Trajectory Prediction
- Uncertainty-Aware Evaluation
- Data Analysis
Research Engineering
- NumPy
- Pandas
- OpenCV
- Matplotlib
- Git
- Linux
- Docker
- Reproducible Experiments
Contact