IEEE Robotics & Automation Magazine - March 2023 - 83

Figure 10(a) shows the path tracking curve of the RRDS
in the experiment. It can be observed that the motion path
of the robot fluctuated slightly at the beginning. However,
it met the allowable error range of the human-robot system.
As the number of learning times increased, the tracking error
gradually decreased, and the RRDS finally achieved stable
tracking for both passive and active direct switching training.
Figure 10(b)-(d) shows the velocity tracking curves in
the passive and active switching training process. From these
figures, it can be observed that the RRDS velocity constraint
range of each axis satisfied
()
vt 1m/s, vt 1 m/s,
x #
()
i #
y #
()
and vt .025rad/s in the passive training stage. With
the improvement of the walking ability, the RRDS directly
switched to the active training stage at
t 8sf = Moreover,
.
the velocity was constantly adjusted to satisfy the decision
errors on each axis within the range of
https://www.hocoma.com/solutions/gait-balance/ https://www.cyberdyne.jp/english/products/HAL/index.html

IEEE Robotics & Automation Magazine - March 2023

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