Kimia Shamaei

About

Kimia Shamaei’s research lies at the intersection of biomechanics and rehabilitation robotics, with a focus on understanding human joint mechanics and translating those insights into assistive robotic therapies. Her early work established foundational models of lower-limb joint behavior during gait, notably demonstrating that the knee’s torque-angle relationship during the stance phase can be approximated by a linear torsional spring (47 citations), and similarly characterizing the ankle’s mechanics with an augmented spring model (38 citations). These contributions provide essential parameters for designing prosthetics and exoskeletons that mimic natural movement. In rehabilitation robotics, Shamaei pioneered assist-as-needed frameworks, including a bicycle cranking model that uses learning from demonstration to tailor therapy to individual patients (22 citations), and a Gaussian mixture model for cooperative impedance-based tasks (17 citations). Her work directly addresses the growing demand for robot-assisted rehabilitation among aging and disabled populations, offering data-driven approaches that adapt therapy in real time. With over 120 total citations across her most-cited papers, Shamaei’s research bridges fundamental biomechanics and applied robotics, making her a notable figure in the development of intelligent, patient-centered rehabilitation technologies.

Research Focus

Key Achievements

Top Papers

1. 1
   On the mechanics of the knee during the stance phase of the gait

   47 citations · 2011
2. 2
   On the mechanics of the ankle in the stance phase of the gait

   38 citations · 2011
3. 3
   A Bicycle Cranking Model for Assist-as-Needed Robotic Rehabilitation Therapy Using Learning From Demonstration

   22 citations · 2016
4. 4
   A Gaussian Mixture Framework for Co-Operative Rehabilitation Therapy in Assistive Impedance-Based Tasks

   17 citations · 2016

Key Collaborators

Contact & Links