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Control and trajectory generation of a 7 DOF anthropomorphic robot arm suffer from computational complexity and singularity problem because of numerical inverse kinematics. To deal with such problems, analytical methods for a redundant robot arm have been researched to enhance the performance of inverse kinematics. In this research, we propose an analytical inverse kinematics algorithm for a 7 DOF anthropomorphic robot arm. Using this algorithm, it is possible to generate a trajectory passing through the singular points and intuitively move the elbow without regard to the end-effector pose. Performance of the proposed algorithm was verified by various simulations. It is shown that the trajectory planning using this algorithm provides correct results near the singular points and can utilize redundancy intuitively.

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There can be many issues when automating a cell manufacturing process using a robot, and the use of a jig is one of them. The last step of a manufacturing process is closing the lid of a product, and it is desirable to perform such a task without using a jig to improve the manufacturing efficiency. In this study, we propose a novel algorithm which uses a dual-arm robot or the friction of the box to compensate for the initial position and orientation errors between the box and the lid. Then, force control can be used to combine the proposed algorithm with an assembly algorithm, enabling a robot to close the lid of a box without a jig regardless of its initial position and orientation errors. The performance of the proposed algorithm was verified through experiments.

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