Moritz Grosse‐Wentrup

About

Moritz Grosse-Wentrup is a leading researcher at the intersection of brain-computer interfaces (BCIs), neurorehabilitation, and motor learning. His work focuses on developing closed-loop systems that combine BCIs with robotic therapy to restore motor function in stroke patients. A key contribution is demonstrating that haptic feedback—closing the sensorimotor loop—significantly improves the decoding of motor imagery, as shown in his highly cited 2011 paper (180 citations). He has advanced the understanding of how electroencephalographic (EEG) signals can predict motor learning performance and identify neural markers of adaptation, moving beyond traditional sensorimotor-focused approaches. His work on brain-robot interfaces for stroke rehabilitation (67 citations) has helped shape modern neurorehabilitation strategies. Grosse-Wentrup also developed ArmSym, a virtual human-robot interaction laboratory that simplifies experimental setups in assistive robotics. With over 370 citations across his most-cited works, his research bridges fundamental neuroscience and practical rehabilitation technology, offering new pathways for patients with severe motor impairments.

Research Focus

Key Achievements

Top Papers

1. 1
   Closing the sensorimotor loop: haptic feedback facilitates decoding of motor imagery

   180 citations · 2011
2. 2
   Towards brain-robot interfaces in stroke rehabilitation

   67 citations · 2011
3. 3
   Electroencephalographic identifiers of motor adaptation learning

   29 citations · 2017
4. 4
   Closing the sensorimotor loop: Haptic feedback facilitates decoding of arm movement imagery

   28 citations · 2010
5. 5
   Predicting motor learning performance from Electroencephalographic data

   27 citations · 2014
6. 6
   A brain-robot interface for studying motor learning after stroke

   22 citations · 2012
7. 7
   ArmSym: A Virtual Human–Robot Interaction Laboratory for Assistive Robotics

   17 citations · 2021

Key Collaborators

Contact & Links