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About

Eugenio Ivorra is a leading researcher in assistive robotics and human–machine interaction, with a focus on restoring independence for individuals with motor disabilities. His work centers on developing intelligent, multimodal frameworks that integrate computer vision, brain/neural interfaces, and exoskeleton control to enable activities of daily living (ADLs). A key contribution is his 2023 study on a hybrid brain/neural interface combined with autonomous vision-guided whole-arm exoskeleton control, which has garnered 29 citations and demonstrates a practical path toward assistive technology for those affected by age-related cerebrovascular diseases. Ivorra’s earlier papers, including “Intelligent Multimodal Framework for Human Assistive Robotics Based on Computer Vision Algorithms” (17 citations) and “Multimodal Computer Vision Framework for Human Assistive Robotics” (11 citations), were part of the AIDE European project and introduced gaze-based interaction systems that allow users to select objects simply by staring. More recently, in 2025, he has expanded into proprioceptive assessment, publishing a reliability and validity study of a parallel robotic system with musculoskeletal model-based feedback. Ivorra’s research is notable for its translational impact, bridging advanced algorithms and real-world assistive devices to improve quality of life.