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Both motion design algorithms use a feature point representation of the moving surface, subdivision algorithms for curves, instantaneous kinematics, and ideas from line geometry.
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Second we study an unconstraint motion design algorithm which we then extend to the main contribution of this paper, an algorithm for the design of a motion constraint by a contacting surface pair.
There's a new design discipline emerging called "motion design".
Motion design by Kris Cave.
Automating the computation of backrub motions is therefore essential if these types of motions are to be used as part of a protein design algorithm.
The main achievement is a design algorithm for polynomial predictive cascade structures used in motion control, under the assumption that the control loops are dynamically separated.
Previously, however, backrub motions were applied via manual interactive model-building, so their incorporation into a protein design algorithm (a simultaneous search over mutation and backbone/side-chain conformation space) was infeasible.
This paper presents two motion planning algorithms designed to solve two different guidance problems: the landing on a small body and its observation.
It is shown that the Jacobian motion planning algorithms designed within the Endogenous Configuration Space Approach are instances of the Sequential Linear Quadratic Optimal Control and the Sequential Quadratic Programming.
Control allocation offers the advantage of a modular design where the high-level motion control algorithm can be designed without detailed knowledge about the effectors and actuators.
This design strategy can seamlessly support various motion estimation algorithms and variable block size with high energy efficiency.
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