Papers
5
Total Citations
22
H-Index
3
About
Anna Shafer’s research lies at the intersection of rehabilitation robotics, human motor control, and assistive technology. Her work focuses on understanding and enhancing human movement through robotic intervention, with particular emphasis on neuromuscular modeling, dexterous manipulation, and locomotor adaptation. Her most cited paper (2019, 8 citations) introduces a novel method for estimating the effect of robotic intervention on elbow joint motion, addressing the challenge of reliably modeling neuromuscular changes during human-robot interaction. In a 2022 study (7 citations), she developed a biomechanically inspired approach to quantify stable manipulation regions for tendon-driven robotic hands, enabling human-like stiffness modulation for dexterous manipulation. Shafer has also contributed to autonomous wheelchair navigation (2016) and is currently leading the AGILE SCI trial (2024), a randomized controlled study investigating whether amplifying gait can improve locomotor engagement and walking balance in individuals with incomplete spinal cord injury. Her recent work on prior uncertainty in locomotor adaptation (2024) reveals how environmental uncertainty can impede learning by reducing error sensitivity. With a growing portfolio addressing both fundamental motor control mechanisms and translational rehabilitation applications, Shafer is establishing herself as a promising voice in neurorehabilitation robotics.
Research Focus
Key Achievements
Top Papers
- 1Estimating the Effect of Robotic Intervention on Elbow Joint Motion8 citations · 2019
- 2
- 3Robotics Based Autonomous Wheelchair Navigation3 citations · 2016
- 4Prior uncertainty impedes discrete locomotor adaptation2 citations · 2024
- 5