A reconfigurable compliant robotic gripper based on flexible scissors mechanism

Abstract Traditional robotic grippers are constrained by their fixed structures and limited grasping range, which poses difficulties when handling objects of various shapes and sizes. In contrast, reconfigurable grippers can flexibly adjust their grasping mode and configuration based on object properties, enabling them to accommodate a wider range of geometries. However, existing reconfigurable grippers face challenges in achieving structural consistency, large-scale continuous deformation, and ease of manufacturing and operation. To overcome these limitations, this study proposes a reconfigurable compliant robotic gripper (RCRG) based on a flexible scissor mechanism finger (FSMF). The FSMF incorporates an anisotropic scissor unit design that decouples extension and bending motions, achieving up to 4.5 times continuous finger length adjustment. Multiple FSMF modules can be mounted on a rigid scissor mechanism base to form either a two-fingered or three-fingered RCRG, depending on task requirements. With this configuration, the RCRGs can transition from a compact, retracted form to a significantly expanded state by deforming both the base and the FSMFs, thereby reconfiguring the grasping space to accommodate objects of various sizes, shapes, and orientations for diverse tasks. Theoretical modeling and experimental validation were conducted to analyze the mechanical performance of the FSMF under different extension ratios. Various grasping tests results demonstrate that the proposed RCRGs design efficiently and stably handles various objects, with a grasping envelope variation of up to 64 times, showcasing high adaptability and flexibility.

Authors

Publication Details

Journal
Smart Materials and Structures
Published
2024-11-28
DOI
https://doi.org/10.1088/1361-665x/ad9876
Citations
2
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
0.43

Funders

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article

A reconfigurable compliant robotic gripper based on flexible scissors mechanism

Yong Zhong, Yunquan Li, Changchun Wu, Liyan Mo et al.
2 citations
Smart Materials and Structures
Modular Robots and Swarm Intelligence
0.43
article

A reconfigurable compliant robotic gripper based on flexible scissors mechanism

Yong Zhong, Yunquan Li, Changchun Wu, Liyan Mo, Jinting Qu, Nan Hu, Yuan‐Fang Zhang, Song Fu, Wenhao Xie, Tao Ren
article en
2 citations

Abstract

Abstract Traditional robotic grippers are constrained by their fixed structures and limited grasping range, which poses difficulties when handling objects of various shapes and sizes. In contrast, reconfigurable grippers can flexibly adjust their grasping mode and configuration based on object properties, enabling them to accommodate a wider range of geometries. However, existing reconfigurable grippers face challenges in achieving structural consistency, large-scale continuous deformation, and ease of manufacturing and operation. To overcome these limitations, this study proposes a reconfigurable compliant robotic gripper (RCRG) based on a flexible scissor mechanism finger (FSMF). The FSMF incorporates an anisotropic scissor unit design that decouples extension and bending motions, achieving up to 4.5 times continuous finger length adjustment. Multiple FSMF modules can be mounted on a rigid scissor mechanism base to form either a two-fingered or three-fingered RCRG, depending on task requirements. With this configuration, the RCRGs can transition from a compact, retracted form to a significantly expanded state by deforming both the base and the FSMFs, thereby reconfiguring the grasping space to accommodate objects of various sizes, shapes, and orientations for diverse tasks. Theoretical modeling and experimental validation were conducted to analyze the mechanical performance of the FSMF under different extension ratios. Various grasping tests results demonstrate that the proposed RCRGs design efficiently and stably handles various objects, with a grasping envelope variation of up to 64 times, showcasing high adaptability and flexibility.

Smart Materials and StructuresVol. 34(1)
National Natural Science Foundation of China
Openalex Percentile: Top 41%
Modular Robots and Swarm Intelligence
0.43
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