Papers
33
Total Citations
874
H-Index
13
About
Dagmar Sternad is a leading neuroscientist and movement researcher whose work spans motor control, human-robot interaction, and the computational principles underlying skilled movement. Best known for her investigations into how humans achieve remarkable dexterity despite the limitations of a slow neuromuscular system, Sternad has made foundational contributions to understanding rhythmic movement, trajectory formation, and object manipulation. Her early work challenging assumptions about segmented motor control (1999, 114 citations) and elucidating violations of the 2/3 power law in arm movements (2001, 198 citations) established her as a rigorous experimentalist reshaping core theories in motor neuroscience. A central thread in her research is the concept of "dynamic primitives" — the idea that the brain encodes motor commands in modular, reusable units — a framework she has applied to locomotion (2013, 129 citations), whip manipulation, and complex object interaction. Her work on carrying liquids, cracking whips, and treadmill versus overground walking reflects a commitment to ecologically meaningful tasks. Sternad's research increasingly bridges neuroscience and robotics, informing the design of more intuitive human-robot collaborative systems and rehabilitation technologies, making her scholarship essential reading for students across both fields.
Research Focus
Key Achievements
Top Papers
- 1
- 2Dynamic Primitives in the Control of Locomotion129 citations · 2013
- 3Segmentation of endpoint trajectories does not imply segmented control114 citations · 1999
- 4
- 5Velocity-Curvature Patterns Limit Human–Robot Physical Interaction58 citations · 2017
- 6Treadmill vs. overground walking: different response to physical interaction51 citations · 2017
- 7Dynamic Primitives Facilitate Manipulating a Whip28 citations · 2020
- 8
- 9Motor control beyond reach—how humans hit a target with a whip25 citations · 2022
- 10