Daniel Galinski
Papers
4
Total Citations
85
H-Index
4
About
Daniel Galinski is a leading researcher in rehabilitation robotics, with a focus on restoring upper limb function after neurological injury. His work centers on the development and clinical application of robotic devices—such as the REAplan—to assess and treat motor impairments in stroke survivors and children with cerebral palsy. Galinski’s major contributions include demonstrating that robotic devices can objectively measure spasticity, as shown in his 2017 study (31 citations), and proving that bimanual robotic-assisted training enhances motor skill learning in chronic hemiparetic stroke patients (2021, 25 citations). He also pioneered the optimal design of an alignment-free exoskeleton for the shoulder complex (2013, 23 citations), advancing ergonomic rehabilitation technology. Notably, his 2017 work integrated serious games with robotic therapy to boost patient engagement and motivation, a novel approach for pediatric cerebral palsy rehabilitation. With over 85 citations across his key papers, Galinski’s research bridges engineering and clinical practice, offering practical tools for quantifying impairment and improving recovery outcomes. His work is essential reading for students and researchers interested in neurorehabilitation, human-robot interaction, and assistive technology.
Research Focus
Key Achievements
Top Papers
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