The invention discloses a tow placement
robot with a redundant joint. The
spinor theory is used for establishing the kinematic jacobian matrix of the
robot; for comprehensively evaluating the flexibility index of the
robot, three indexes of the
condition number, the manipulability and the minimum
singular value are modelled as three target functions after being changed, and the target functions are optimized through the adoption of an improved multi-target
genetic algorithm and the introduction of Pareto efficiency; performing the
data analysis on the optimized Pareto first front-end optimal solution set, describing the relation among the indexes using related coefficients, when finding the performance optimization on the tow placement robot, necessarily considering the mutual relation of the indexes, and finally acquiring the tow placement robot
working space region with the optimal comprehensive performance. The
simulation result proves that the operation of performing the
genetic algorithm optimization and application of the multi-target using the Pareto efficiency is reliable and efficient, and lays the foundation for the next
step test research of the tow placement robot; and meanwhile, the operation provides good reference value for the movement flexibility performance analysis and optimization of other serial robots.