Predicting Sagittal-Plane Swing Hip Kinematics in Response to Trips
Jun 17, 2022·
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1 min read
Xinyi Liu
S. Danforth
M. Ward
P. Holmes
R. Vasudevan
Trip Recovery Kinematics PredictionAbstract
This study presents three methods for predicting swing hip kinematics during trip recovery, including a Gaussian process regression (GPR) model, a time-series neural network model, and a pendulum dynamics model. The research aims to develop predictive models that can help assistive robotic devices safely aid individuals during unexpected motion disturbances.
Type
Publication
IEEE Robotics and Automation Letters, 7(3)
Key Contributions
- Developed three distinct predictive models for swing hip trip-recovery behavior
- Demonstrated empirical superiority of proposed planning approach
- Received Best Paper Award at BioRob for IEEE Robotics and Automation Letters
