2 docs tagged with "feedforward"

We share the process of optimizing acceleration feedforward control for a 6-axis robot arm. By using planner acceleration + LPF instead of numerical differentiation, we achieved 21.2% improvement in position RMSE and torque stability simultaneously.

We validate the effects of friction compensation and acceleration feedforward on a 6-axis collaborative robot through 160 runs of 2x2 experiments. Friction coefficients were tuned using an AI agent (ralph-loop), and validation experiments were conducted with automated scripts. Friction compensation alone achieved 36% improvement (Cohen's d=1.49), accounting for 93% of total improvement.