4.6 Article

A Soft Enveloping Gripper with Enhanced Grasping Ability via Morphological Adaptability

Journal

ADVANCED INTELLIGENT SYSTEMS
Volume 5, Issue 6, Pages -

Publisher

WILEY
DOI: 10.1002/aisy.202200456

Keywords

dynamic stable; enveloping gripper; high permissible error; morphological adaptation

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Traditional robotic grasping requires adjusting finger posture and force based on object characteristics. A soft enveloping gripper is introduced as a simpler and more efficient grasping method. The enveloping gripper can omnidirectionally envelop objects, allowing for 100% grasping success regardless of object position and orientation. In comparison, fingered grippers' success rate and orientation error are highly dependent on positioning and finger count. The enveloping gripper has lower vibration and decay time and can automatically grasp objects without posture estimation or force control, making it suitable for various applications.
Hitherto, automated grasping with robotic grippers requires adjusting the posture and force of the fingers based on the size, geometry, stiffness, and pose of the objects. To provide a simpler but efficient grasping methodology, a soft enveloping gripper is presented and investigated how its morphological adaptability improves the grasping ability by comparing its performance with fingered grippers. Results show that this enveloping gripper can omnidirectionally envelop objects via active-passive interaction, which allows the gripper to 100% grasp the object located at different positions within range and keep their orientations. However, the grasping success rate and orientation error of the fingered grippers highly depend on the relative position and angle of the objects to the grippers, as well as the number of fingers. The dynamic vibration and decay time of the enveloping gripper when grasping a 500 g weight are, both, approximately one-sixth of those of the two-fingered gripper when grasping a 12.37 g cube. This enveloping gripper can automatically grasp objects (including deformable ones) lying in different poses without posture estimation and force control with a simple vision-based automatic grasping method. The enveloping grasping method may open an avenue for simple, low cost yet powerful automatic grasping applications.

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