Learning Low-Frequency Motion Control for Robust and Dynamic Robot Locomotion
This work demonstrates that low-frequency motion control policies are sufficient for robust and dynamic quadrupedal locomotion. The key finding is that complex dynamics randomization or explicit actuation modeling during training is not required for successful sim-to-real transfer. Low-frequency controllers can operate effectively even when tracking desired velocities.