A mask area based grasping force control strategy for force sensor-less robot

Zhang, Shuai; Li, Shiqi; Fu, Yan; Xiong, Youjun; Xie, Zheng

doi:10.1007/s11042-022-12016-w

Cited by 2 publications

(1 citation statement)

References 36 publications

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“…With the rapid development of global artificial intelligence, intelligence has become one of the hot spots in the field of robot research. The application field of intelligent robots is gradually extending from traditional industrial manufacturing to commercial services, medical care, and other fields [1][2][3]. Stable grasping is a necessary prerequisite in various complex application scenarios for robots.…”

Section: Introductionmentioning

confidence: 99%

A soft robot tactile fingertip for grasping surface posture detection

Wang,

Zhou,

et al. 2024

Smart Mater. Struct.

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The application field of robots is gradually extending from traditional industrial manufacturing to commercial services, medical care and other fields. Stable grasping is a necessary prerequisite for various complex robot application scenarios. The existing research on robot tactile sensor mainly focus on sensing tactile information, such as pressure or sliding. However, grasping surface posture as a tactile information that has a significant impact on the stability of grasping is often ignored. This study proposed a novel soft robot tactile fingertip that can not only detect the grasping force but also simultaneously detect the grasping surface posture. It is capable of recognizing 19 grasping surface postures in real-time using Mamdani fuzzy control method. The soft robot tactile fingertip has a simple structure and easy to fabricate at low cost. The application example of the two-finger mechanical hand using the soft tactile fingertip samples for stable grasping is demonstrated. This study shows that the soft robot tactile fingertip has great application prospects in the filed of robot intelligent grasping.

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Section: Introductionmentioning

confidence: 99%