In this paper, a systematic algorithm, the Parallel Scheme, is
proposed to solve the multiple-goal problem of redundant manipulators.
It can adaptively adjust all the weighting factors of the corresponding
goals according to their individual needs. Therefore, conflicts due to
redundancy competition are resolved. To upgrade the redundancy-release
capability of the original Parallel Scheme, the Improved Parallel Scheme
is also developed by using the exponential function to adjust the weightings.
The Improved Parallel Scheme is shown to improve both the redundancy-release
capability and the weighting-adjustment capability while retaining all the
merits of the original Parallel Scheme.