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Sim-to-Real Transfer with Action Mapping and State Prediction for Robot Motion Control - IEEE Xplore
Deep reinforcement learning (DRL) has been proved to be a very promising method for robot motion control. However, it usually needs a large number of samples in training, which restricts its ...
The newest version of the Atlas "humanoid" robot is fully electric and said to be "stronger, more dexterous, and more agile" than its hydraulic predecessor that was recently retired.
This research discusses an approach for controlling omni-wheel robots that will be used in telepresence robot applications. The first approach uses the pole placement method to control the motion of ...
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