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Using Neural Networks to Model Hysteretic Kinematics in Tendon-Actuated Continuum Robots
The ability to accurately model mechanical hysteretic behavior in tendon-actuated continuum robots using deep learning approaches is a growing area of interest.
3D Human Pose Estimation on a Configurable Bed from a Pressure Image
In this work, we present two convolutional neural networks to estimate the 3D joint positions of a person in a configurable bed from a single pressure image.
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