2 papers
cs.RO2019
Learning User Preferences for Trajectories from Brain Signals
Henrich Kolkhorst, Wolfram Burgard, Michael Tangermann
Robot motions in the presence of humans should not only be feasible and safe, but also conform to human preferences. This, however, requires user feedback on the robot's behavior.…
eess.SP2018
Mining within-trial oscillatory brain dynamics to address the variability of optimized spatial filters
Andreas Meinel, Henrich Kolkhorst, Michael Tangermann
Data-driven spatial filtering algorithms optimize scores such as the contrast between two conditions to extract oscillatory brain signal components. Most machine learning approache…