Optimal Collision-Free Robot Trajectory Generation Based on Time Series Prediction of Human Motion
Abstract
In this letter, we propose that the joint motion of a human worker doing repetitive work could be predicted using a time series model. With a motion capture system, the elbow joint rotation data are collected and used to fit an autoregressive model. An online parameter adaptation algorithm is employed to update model parameters in real time. A safety index with a distance factor is defined to describe the level of safety during physical...
Paper Details
Title
Optimal Collision-Free Robot Trajectory Generation Based on Time Series Prediction of Human Motion
Published Date
Jan 1, 2018
Volume
3
Issue
1
Pages
226 - 233
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