Dominik Welke

Papers

1

Total Citations

5

H-Index

1

About

Dominik Welke is a researcher at the intersection of cognitive neuroscience and human-robot interaction, with a primary focus on how the human brain perceives and responds to robotic errors. His most-cited work, "Brain Responses During Robot-Error Observation" (2017), investigates the neural correlates of observing mistakes made by brain-controlled robots—a critical area for developing more intuitive and responsive assistive devices for severely impaired individuals. By analyzing brain signals during these interactions, Welke’s research aims to decode the user’s perceived correctness of robot performance, offering a potential pathway to real-time feedback loops that could enhance the fluency and trustworthiness of human-robot collaboration. Though his citation count is still growing, his work addresses a foundational challenge in neuroprosthetics: optimizing the bidirectional communication between human cognition and machine action. Welke’s contributions are particularly relevant for researchers designing brain-computer interfaces (BCIs) and adaptive robotic systems, where understanding the user’s implicit evaluation of robot behavior is key to achieving seamless, error-aware interaction. His studies provide a neurophysiological basis for making assistive robots not just functional, but perceptually aligned with human expectations.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Brain Responses During Robot-Error Observation
5 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 8

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago