Luis Moreno‐Izquierdo

Skolkovo Institute of Science and Technology

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About

Luis Moreno-Izquierdo is a pioneering researcher at the intersection of assistive robotics and human-robot interaction, with a focus on developing accessible manipulation systems for individuals with motor impairments. His work centers on integrating computer vision, natural language processing, and robotic control to create intuitive interfaces that bridge the gap between human intent and robotic action. Moreno-Izquierdo's most impactful contribution is **GazeGrasp** (2025, 6 citations), a groundbreaking gaze-based manipulation system that enables users with motor disabilities to control collaborative robots through eye-tracking. The system combines ESP32 CAM hardware, MediaPipe for gaze detection, and YOLOv8 for object localization, integrated with Universal Robot UR arms—demonstrating a practical, low-cost solution for assistive robotics. His **Shake-VLA** system (2025, 3 citations) extends this work into bimanual manipulation, introducing a Vision-Language-Action model that interprets speech commands and visual data to automate complex tasks like cocktail preparation, showcasing the potential of multimodal AI in robotics. These works represent early but significant contributions to accessible robotics, with GazeGrasp already cited for its innovative integration of consumer-grade hardware with deep learning. Moreno-Izquierdo's research promises to democratize robotic assistance, making sophisticated manipulation systems available to those who need them most.