Papers
5
Total Citations
146
H-Index
4
About
Christian Klaes is a pioneering researcher at the intersection of neuroscience, robotics, and human-machine interaction, whose work is redefining how humans and machines collaborate. His primary research areas span brain-machine interfaces (BMIs), cortical neuroprosthetics, human-robot collaboration, and the emerging field of human-robot intimacy. Klaes’s most influential contribution is his work on "Toward More Versatile and Intuitive Cortical Brain–Machine Interfaces" (85 citations), which advanced the development of more natural, adaptive neural control systems for paralyzed patients. He further demonstrated the power of shared control in "A collaborative BCI approach to autonomous control of a prosthetic limb system" (49 citations), showing how combining neural decoding with autonomous robotic intelligence can dramatically improve prosthetic dexterity. More recently, Klaes has explored the integration of human activity recognition with non-invasive BMIs to enable safer, more intuitive human-robot collaboration in industrial and healthcare settings. His forward-thinking work on "Human–Robot Intimacy" probes the social and emotional dimensions of human-robot relationships, addressing acceptance and companionship. Through his research, Klaes is not only restoring motor function for individuals with paralysis but also shaping the future of how humans and intelligent machines coexist and cooperate.
Research Focus
Key Achievements
Top Papers
- 1Toward More Versatile and Intuitive Cortical Brain–Machine Interfaces85 citations · 2014
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- 5Human–Robot Intimacy: Acceptance of Robots as Intimate Companions3 citations · 2024