Alissa V Kregling
Papers
1
Total Citations
6
H-Index
1
About
Alissa V. Kregling’s research lies at the intersection of computational neuroscience and robotics, with a focus on biologically inspired models for dexterous manipulation. Her most-cited work, “A cortically-inspired model for inverse kinematics computation of a humanoid finger with mechanically coupled joints” (2016, 6 citations), addresses a fundamental challenge in robotic hand design: how to efficiently control fingers whose joints are mechanically coupled, mimicking human biomechanics. By drawing on cortical processing principles, Kregling developed a model that simplifies inverse kinematics for such coupled systems, enabling more natural and robust grasping in humanoid robots. This work bridges the gap between neural computation and practical robotic control, offering insights that could advance prosthetics and human-robot interaction. Though her citation count is modest, her contribution is notable for its interdisciplinary approach—combining neuroscience, kinematics, and engineering to solve a real-world problem in robotic dexterity. Kregling’s research underscores the value of looking to biology for efficient, elegant solutions in robotics.
Research Focus
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Top Papers
- 1