Max Robotics — Global Service Robot Directory + US Certification

About

Izaro Goienetxea is a researcher at the forefront of social robotics and computer vision, specializing in bridging the gap between human action recognition and natural human-robot interaction. Her work introduces a novel, interdisciplinary approach by adapting **Common Spatial Patterns (CSP)** —a signal processing technique traditionally used in electroencephalography (EEG)—to the domain of video activity recognition. This innovative methodology allows for the efficient filtering and selection of relevant pixels, transforming video data into image representations that can be classified with high accuracy. Her most-cited paper (2020, 19 citations) demonstrates a method designed to endow robots with the ability to understand human actions, a critical step toward more intuitive and seamless social interaction. Goienetxea’s pipeline, detailed in subsequent works (2021, 7 citations; 2020, 4 citations), has been specifically tested on footage captured by a humanoid robot, underscoring its practical application in autonomous navigation and surveillance. By creatively repurposing established techniques from neuroscience, she is making significant contributions to making robots more perceptive and responsive in everyday environments.