Papers
4
Total Citations
128
H-Index
4
About
Arnau Dillen is a leading researcher at the intersection of human-robot interaction, wearable robotics, and biosignal control. His work focuses on developing intelligent, adaptive systems that seamlessly integrate with human physiology to enhance assistive technology. Dillen’s most impactful contribution is his 2022 systematic review on human-in-the-loop optimization (HILO) for wearable robotic devices, which has garnered 85 citations and serves as a foundational resource for the field. This work systematically categorized 46 HILO studies, providing critical insights into optimizing human-robot interaction for both upper and lower limb applications. He has also pioneered the use of deep learning for real-time biosignal control, as detailed in his 2022 paper (24 citations), offering recommendations for decoding neural and muscular signals. More recently, Dillen has advanced shared control systems by combining motor imagery brain-computer interfaces (BCI) with eye tracking and augmented reality, achieving 11 and 8 citations for his 2024 studies. His innovative approach aims to restore autonomy for individuals with physical disabilities, making human-robot collaboration more intuitive and accessible. Dillen’s work is shaping the future of assistive robotics and neurorehabilitation.
Research Focus
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