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MANIPULATION

Precise In-Hand Motion Control of Objects Using Soft Actuators and Visual Feedback

Yoshiki Mori, Mingzhu Zhu, Hyejong KIM, Akira Wada, Sadao Kawamura

Year
2018
Citations
3

Abstract

Soft robots are expected to resolve problems faced by highly rigid robots, grasping objects of varied shape, for example. In this paper, we propose a soft robotic hand that grasps objects of various shapes and realizes high-precision manipulation of the grasped objects. This soft robotic hand has four pneumatically-driven soft actuators in its grasp and these soft actuators are made on a multi-material 3D printer which can print in both soft and hard materials. For high-precision object manipulation, we also propose a robust visual feedback control. This control is realized by estimating a linear relationship between forces/torques generated on the grasped object and inputs of the soft actuators. By using this proposed method, vertical plane manipulation of the grasped object is realized. As a result, position and orientation errors, when using this method, are about 0.30 mm and about 0.03 rad.

Keywords

GRASPActuatorComputer visionObject (grammar)Computer scienceRobotArtificial intelligenceOrientation (vector space)Soft roboticsGrippers

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