The problem of adaptive trajectory planning for robots under stochasti
c uncertainty is considered, where new information about the robots an
d their environment is presented on-line. Solving the problem numerica
lly by means of spline approximation and by applying the method of neu
ral networks, the optimal control can be calculated in real-time. Some
numerical results are presented.