2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021
DOI: 10.1109/iros51168.2021.9636378
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Autonomous Decision Making in a Bioinspired Adaptive Robotic Anchoring Module

Abstract: This paper proposes a bioinspired adaptive anchoring module that can be integrated into robots to enhance their mobility and manipulation abilities. The design of the module is inspired by the structure of the mouth in Chilean lamprey (Mordacia lapicida) where a combination of suction and several arrays of teeth with different sizes around the mouth opening is used for catching preys and anchoring onto them. The module can deploy a suitable mode of attachment, via teeth or vacuum suction, to different contact … Show more

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Cited by 1 publication
(3 citation statements)
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“…Note that fishing hooks are originally designed to be bent, making them difficult to remove once engaged. As a result, we modified them to make detachment easier [6]. The motion of all claw units is coupled with a sliding ring which is actuated via two DC encoder motors running at 500 rounds per minute (rpm), Fig.…”
Section: A Claws Mechanismmentioning
confidence: 99%
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“…Note that fishing hooks are originally designed to be bent, making them difficult to remove once engaged. As a result, we modified them to make detachment easier [6]. The motion of all claw units is coupled with a sliding ring which is actuated via two DC encoder motors running at 500 rounds per minute (rpm), Fig.…”
Section: A Claws Mechanismmentioning
confidence: 99%
“…Modes of attachment such as spines, hooks, and claws are uncommon in gripping systems used for object manipulation, as their sharp edges can damage the objects, while they are popular for use in robotic anchoring mechanisms to porous surfaces [6][7][8]. However, in the case of a gripper for sorting recyclable waste items, the use of a claw mechanism can be very beneficial enabling gripping onto a wider range of objects, while potential damages to waste items are not concerning.…”
Section: Introductionmentioning
confidence: 99%
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