Abstract
To realize the prediction motion planning, it requires making models by recognition using vision, planning using dynamics calculation, and reducing the difference between real and simulation. These needs relation between recognition action programs and dynamics simulators. This paper picks up the block stacking problem and realize the prediction motion planning on EusDyna, which is one of the environments that integrate robot brains and simulations. Recognition, modeling, planning and decrease the error of prediction are illustrated in a humanoid robot.
