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Failure and Workspace Analysis of Parallel Robot Manipulators
A failure recovery methodology based on decomposing the platform task space into the major and secondary subtasks is proposed which enables the manipulator to minimize the least-squares error of the major subtasks and to ...
Multiobjective Optimization Algorithm Benchmarking and Design Under Parameter Uncertainty
This research aims to improve our understanding of multiobjective optimization, by comparing the performance of five multiobjective optimization algorithms, and by proposing a new formulation to consider input uncertainty ...