Daniel Ludvig
Papers
8
Total Citations
67
H-Index
4
About
Daniel Ludvig’s research sits at the intersection of biomechanics, motor control, and rehabilitation robotics, with a focus on how humans adapt their limb mechanics during movement and how haptic interaction can accelerate motor learning. His major contributions include characterizing task-relevant adaptation of musculoskeletal impedance—a measure of limb stiffness and damping—during posture and movement, work that has informed the design of compliant robotic prostheses. This foundational paper has garnered 21 citations, underscoring its impact on the field. Ludvig has also pioneered studies on dyadic haptic collaboration, showing that physically coupling two individuals through robotic interfaces can enhance ankle motor learning and task performance. His work on the effects of virtual connection stiffness during human-human haptic interaction, cited 12 times, reveals how compliance in physical guidance influences skill acquisition—insights directly applicable to neurorehabilitation. Additionally, his investigation into muscle contraction’s limited effect on glenohumeral stability in the apprehension position (8 citations) has implications for shoulder injury rehabilitation. Through these studies, Ludvig bridges fundamental motor control science with practical applications in assistive robotics and therapy, making his research essential reading for those interested in human movement, haptics, and rehabilitation engineering.
Research Focus
Key Achievements
Top Papers
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