Alind Xhyra

University of Applied Sciences and Arts of Southern Switzerland

Papers

Total Citations

H-Index

About

Alind Xhyra is a researcher at the forefront of robotic perception and safety, with a primary focus on visual anomaly detection in autonomous systems. Their most notable contribution is the creation of the **Hazards&Robots dataset**, a large-scale resource comprising over 324,000 RGB frames and corresponding feature vectors. This dataset, which includes nearly 179,000 anomalous frames across 20 distinct anomaly classes, provides a critical benchmark for training and evaluating models that enable robots to identify unexpected hazards in real-time. Since its publication in 2023, the work has already garnered **7 citations**, signaling its growing influence in the fields of robotics and computer vision. By addressing the challenge of detecting visual anomalies—from mechanical failures to environmental dangers—Xhyra’s research directly enhances the reliability and safety of autonomous systems in industrial and domestic settings. This foundational dataset is poised to become a standard resource for researchers developing robust, fault-tolerant robots, marking Xhyra as a key contributor to the next generation of intelligent, self-aware machines.