High performance and compliant robot control require accurate dynamics models which cannot be obtained analytically for sufficiently complex robot systems. In such cases, machine learning offers a promising alternative for approximating the robot dynamics using measured data. This approach offers a natural framework to incorporate unknown nonlinearities as well as to continually adapt online for changes in the robot dynamics.
How did the machine know the goal was to balance the bottom as its objective
davepamn 8 months ago
i like this.
KakHazhar 2 years ago