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About

Ratan Das is a pioneering researcher at the intersection of neural engineering, human-robot interaction, and assistive robotics. His primary research areas include brain-computer interfaces (BCI), rehabilitation robotics, and humanoid locomotion control. Das's most impactful contribution is the fusion of EEG and EMG signals for classifying unilateral foot movements (61 citations), a breakthrough that enables more intuitive control of prosthetic and rehabilitation devices by decoding both neural and muscular activity. He also developed a novel low-cost zero-moment point (ZMP) estimation method for humanoid gait using inertial measurement devices, offering an affordable alternative to traditional force-sensor-based approaches for bipedal locomotion control. Additionally, Das designed an inertia-based angle measurement unit for gait assistive devices, advancing exoskeleton technology for rehabilitation and physical training. His work on cognitive control of robotic-rehabilitation devices using the Emotiv EEG headset demonstrates his commitment to accessible, non-invasive neural interfaces. By combining neural signal processing with practical robotic applications, Das is making significant strides toward intelligent, user-responsive assistive technologies that can enhance mobility and quality of life for individuals with disabilities.