Ioannis Xygonakis
Aristotle University of Thessaloniki, Technical University of Munich
Papers
4
Total Citations
65
H-Index
3
About
Ioannis Xygonakis is a researcher at the intersection of rehabilitation robotics, brain-computer interfaces (BCIs), and assistive technology for spinal cord injury (SCI) patients. His work focuses on developing noninvasive neural interfaces that restore sensorimotor function and improve quality of life for individuals with severe motor disabilities. Xygonakis’s most cited paper, “Towards Rehabilitation Robotics: Off-the-Shelf BCI Control of Anthropomorphic Robotic Arms” (2017, 42 citations), demonstrates how low-cost, noninvasive BCIs can effectively control robotic arms, offering a practical pathway for restoring lost function. He further explores real-world usability in “Wireless Brain-Robot Interface: User Perception and Performance Assessment of Spinal Cord Injury Patients” (15 citations), assessing how SCI patients perceive and perform with wireless BCI systems. His “Commercial BCI Control and Functional Brain Networks in Spinal Cord Injury: A Proof-of-Concept” (6 citations) investigates how SCI alters brain network dynamics and how BCIs can leverage these changes. More recently, Xygonakis has advanced toward fully automated transcranial magnetic stimulation (TMS) sessions with his 2024 work on a TMS robotic assistant. His cumulative impact—over 65 citations—underscores his contributions to making assistive robotics more accessible and clinically viable for paralyzed individuals.
Research Focus
Key Achievements
Top Papers
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