Object Manipulation of a Humanoid Robot Based on Visual Feedforward and Visual Feedback
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Abstract
According to the reach-to-grasp task for a humanoid robot,a method combining visual feedforward and visual feedback is proposed. Reverse kinematics algorithm based on the grid is used in the visual feedforward to facilitate the reach-to-grasp task and reduces the manipulation time. The visual feedback increases the robustness by compensating the weak calibration error. The combination of two control strategies facilitates reach-to-grasp task for a humanoid robot. The robustness of the system is confirmed by experimental results.
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