首页 /研究 /The Enhanced Adaptive Grasping of a Soft Robotic Gripper Using Rigid Supports
MANIPULATION

The Enhanced Adaptive Grasping of a Soft Robotic Gripper Using Rigid Supports

Zhikang Peng, Dongli Liu, Xiaoyun Song, Meihua Wang, Yiwen Rao, Yanjie Guo, Jun Peng

发表年份
2024
引用次数
7
访问权限
开放获取

摘要

Soft pneumatic grippers can grasp soft or irregularly shaped objects, indicating potential applications in industry, agriculture, and healthcare. However, soft grippers rarely carry heavy and dense objects due to the intrinsic low modulus of soft materials in nature. This paper designed a soft robotic gripper with rigid supports to enhance lifting force by 150 ± 20% in comparison with that of the same gripper without supports, which successfully lifted a metallic wrench (672 g). The soft gripper also achieves excellent adaptivity for irregularly shaped objects. The design, fabrication, and performance of soft grippers with rigid supports are discussed in this paper.

关键词

Soft roboticsComputer scienceRobotMaterials scienceArtificial intelligence

相关论文

查看 MANIPULATION 分类全部论文