We succeeded in learning control for soft actuator (ソフトアクチュエータの学習制御に成功しました)
ソフトアクチュエータは非線形性やヒステリシスにより制御が難しいという課題がある。また、ソフトアクチュエータを手作業で製作した場合は物
理的特性の個体差が非常に大きくなる。反復学習制御を用いることで Fiber-Reinforced Soft Actuator の個体差補償を行うことができた。
The soft actuator has a problem that it is difficult to control due to non-linearity and hysteresis. Further, when the soft actuator is manually manufactured, the individual difference in physical characteristics becomes very large. The individual difference of Fiber-Reinforced Soft Actuator could be compensated by using iterative learning control.
Видео We succeeded in learning control for soft actuator (ソフトアクチュエータの学習制御に成功しました) канала Neuro-Robotics Lab
理的特性の個体差が非常に大きくなる。反復学習制御を用いることで Fiber-Reinforced Soft Actuator の個体差補償を行うことができた。
The soft actuator has a problem that it is difficult to control due to non-linearity and hysteresis. Further, when the soft actuator is manually manufactured, the individual difference in physical characteristics becomes very large. The individual difference of Fiber-Reinforced Soft Actuator could be compensated by using iterative learning control.
Видео We succeeded in learning control for soft actuator (ソフトアクチュエータの学習制御に成功しました) канала Neuro-Robotics Lab
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