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Researchers Develop Robotic Hand with Gecko-inspired Grip

Published on 2022-01-05. Edited By : SpecialChem

TAGS:  Sustainability / Natural Adhesives    

Engineers Develop Robotic Hand with Gecko-inspired GripStanford University researchers Ruotolo and Dane Brouwer have developed “farmHand” robotic hand. The researchers are graduate students in the Biomimetics and Dextrous Manipulation Lab, at Stanford (aka “the Farm”).

In their testing, the researchers demonstrated that farmHand is capable of handling a wide variety of items, including raw eggs, bunches of grapes, plates, jugs of liquids, basketballs and even an angle grinder.

Using Gecko-adhesive on Gripper


FarmHand benefits from two kinds of biological inspiration. While the multi-jointed fingers are reminiscent of a human hand – albeit a four-fingered one – the fingers are topped with gecko-inspired adhesives. This grippy but not sticky material is based on the structure of gecko toes and has been developed over the last decade by the Biomimetics and Dextrous Manipulation Lab, led by Mark Cutkosky, the Fletcher Jones Professor in the School of Engineering, who is also senior author of this research.

Using the gecko-adhesive on a multi-fingered, anthropomorphic gripper for the first time was a challenge, which required special attention to the tendons controlling the fingers of farmHand and the design of the finger pads below the adhesive.

Strong Adhesive with No Residue


Like gecko’s toes, the gecko adhesive creates a strong hold via microscopic flaps. When in full contact with a surface, these flaps create a Van der Waals force – a weak intermolecular force that results from subtle differences in the positions of electrons on the outsides of molecules. As a result, the adhesives can grip strongly but require little actual force to do so. Another bonus: they don’t feel sticky to the touch or leave a residue behind.

The first applications of the gecko adhesives had to do with climbing robots, climbing people or grasping very large, very smooth objects in space. But we’ve always had it in our minds to use them for more down-to-earth applications,” said Cutkosky. “The problem is that it turns out that gecko adhesives are actually very fussy.”

The fuss is that the gecko adhesives must connect with a surface in a particular way in order to activate the Van der Waals force. This is easy enough to control when they are applied smoothly onto a flat surface, but much more difficult when a grasp relies on multiple gecko adhesive patches contacting an object at various angles, such as with farmHand.

Pinching and Buckling


Below the adhesives, farmHand’s finger pads help address this challenge. They are made of a collapsible rib structure that buckles with little force. No matter the location or angle of contact, the ribs consistently buckle so as to ensure equal forces on the adhesive pads and prevent any single one from slipping prematurely.

If you move these ribs, the buckling results in a similar force no matter where you start,” said Brouwer. “It’s a simple, physical behavior that could be deployed even in spaces outside of robotics, perhaps as shoe tread or all-terrain tires.”

The hand’s tendons are crucial as well because they enable a hyperextended pinch. While many robotic hands and clamps will pinch objects in a “C” shape, like picking something up with only the tip of your fingers, farmHand pinches with the end of its fingers pressed pad to pad. This gives the adhesives more surface area to work with.

Getting the design just right was especially hard because existing computer simulations have difficulty predicting real-world performance with soft objects – another factor in the heirloom tomato problem. But the researchers benefitted immensely from being able to 3D print and test many of the hard and soft plastic components in relatively quick cycles. They go as far as to suggest that their success may not have been possible – or at least much slower – only five years ago.

Further improvements to farmHand could come in the form of feedback features that would help users understand how it is gripping and how it could grip better while the hand is in use. The researchers are also considering commercial applications for their work.

Source: Stanford University


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