2019
DOI: 10.3390/robotics8030067
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Pinch Grasp and Suction for Delicate Object Manipulations Using Modular Anthropomorphic Robotic Gripper with Soft Layer Enhancements

Abstract: This paper is an extension of our previous work about a modular anthropomorphic robotic hand with soft enhancements focusing on simultaneous pinch grasp and suction-based object manipulations. The base structure is a tendon-driven robotic hand comprising five fingers and a palm. Each finger consists of two rigid links covered with soft enhancements. The soft enhancements are like the skin and tissues of the robotic hand. The tip of the finger is equipped with a suction module which can be actuated by regulatin… Show more

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Cited by 10 publications
(3 citation statements)
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“…For example, a five-fingered gripper with a palm and suction cups at the tip of each finger as presented in Ref. [12]. Tendon wires are also widely used in compliant grippers.…”
Section: Related Workmentioning
confidence: 99%
“…For example, a five-fingered gripper with a palm and suction cups at the tip of each finger as presented in Ref. [12]. Tendon wires are also widely used in compliant grippers.…”
Section: Related Workmentioning
confidence: 99%
“…Researchers have proposed and investigated several approaches to develop grasping mechanisms, where some considered the fingers as rigid components [1][2][3]. Others adopted flexible fingers, fingers with flexible surfaces as an interface for grasping, or fingers with flexible joints [4][5][6][7][8][9][10]. Moreover, under-actuated mechanisms have also been employed to achieve safe and stable grasping [11][12][13][14][15][16][17][18].…”
Section: Introductionmentioning
confidence: 99%
“…They are not suitable for most general unstructured applications, which involve a big workspace and can only rely on manually control by the human operator. In addition, the compliance of the robotic gripper is far less than the human hand [29]. The human-level robotic manipulation is still a critical issue, especially under those unconstrained and dynamic environments.…”
Section: Introductionmentioning
confidence: 99%