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About

Valeri Mladenov is a researcher at the forefront of human-robot interaction and brain-computer interfaces. His work centers on integrating biological signals with robotic systems, with a particular focus on humanoid robots and industrial automation. Mladenov’s most notable contribution is his 2017 paper on controlling a humanoid robot using EEG brainwaves, which demonstrates real-time brain activity measurement and signal recognition to direct robotic movement—a pioneering step toward non-invasive, thought-driven control. This work has garnered 11 citations and highlights the potential for assistive robotics. He also developed a comprehensive system for remote monitoring and control of the Baxter industrial robot, enabling internet-based access for small to midsize manufacturers. His foundational research, including a 2007 paper with 19 citations in signal processing and robotics, has helped shape modern approaches to integrating cognitive signals with physical machines. Mladenov’s achievements bridge neuroscience and engineering, offering practical pathways for more intuitive, accessible robotic systems.