Ander Arriandiaga

University of Genoa, Italian Institute of Technology

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About

Ander Arriandiaga is a researcher at the forefront of neuromorphic vision and robotic interaction, specializing in event-based sensing and spatiotemporal trajectory prediction. His work addresses a critical challenge in robotics: enabling machines to anticipate and react to fast, non-linear movements—such as a bouncing ball—by leveraging event cameras that sample visual data asynchronously, based on changes in the scene, rather than at fixed time intervals. Arriandiaga’s key contributions include demonstrating that event-based sensors significantly outperform traditional frame-based cameras for predicting rapid, unpredictable trajectories, as shown in his studies on the iCub humanoid robot. His most-cited paper, *"Where and When: Event-Based Spatiotemporal Trajectory Prediction from the iCub’s Point-Of-View"* (2020, 3 citations), and its companion work, *"Exploiting Event Cameras for Spatio-Temporal Prediction of Fast-Changing Trajectories"* (2020, 2 citations), have laid foundational methods for improving robot-target interaction in dynamic environments. By applying state-of-the-art machine learning to event streams, Arriandiaga’s research paves the way for more responsive, agile robots capable of tasks like catching or interception, with broad implications for autonomous systems and human-robot collaboration.