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Title: Kiri-Spoon: A kirigami utensil for robot-assisted feeding
For millions of adults with mobility limitations, eating meals is a daily challenge. A variety of robotic systems have been developed to address this societal need. These robots serve as a proxy for the human’s arm: the user inputs the food they want to eat, and the robot autonomously picks up that food and brings it to the user’s mouth. Unfortunately, end-user adoption of robot-assisted feeding is limited, in part because existing devices are unable to seamlessly grasp, manipulate, and feed diverse foods. Recent works seek to address this issue by creating newalgorithmsfor food acquisition and bite transfer. In parallel to these algorithmic developments, however, we hypothesize thatmechanical intelligencewill make it fundamentally easier for robot arms to feed humans. We therefore propose Kiri-Spoon, a soft utensil specifically designed for robot-assisted feeding. Kiri-Spoon consists of a spoon-shaped kirigami structure: when actuated, the kirigami sheet deforms into a bowl of increasing curvature. Robot arms equipped with Kiri-Spoon can leverage the kirigami structure to wrap-around morsels during acquisition, contain those items as the robot moves, and then compliantly release the food into the user’s mouth. Overall, Kiri-Spoon combines the familiar and comfortable shape of a standard spoon with the increased capabilities of soft robotic grippers. In what follows, we first apply a stakeholder-driven design process to ensure that Kiri-Spoon meets the needs of caregivers and users with physical disabilities. We next characterize the dynamics of Kiri-Spoon, and derive a mechanics model to relate actuation force to the spoon’s shape. The paper concludes with three separate experiments that evaluate (a) the mechanical advantage provided by Kiri-Spoon, (b) the ways users with disabilities perceive our system, and (c) how the mechanical intelligence of Kiri-Spoon complements state-of-the-art algorithms. Our results suggest that Kiri-Spoon advances robot-assisted feeding across diverse foods, multiple robotic platforms, and different manipulation algorithms.  more » « less
Award ID(s):
2238792 2132846
PAR ID:
10690340
Author(s) / Creator(s):
; ; ; ; ; ;
Publisher / Repository:
IJRR, Sage Publishers
Date Published:
Journal Name:
The International Journal of Robotics Research
ISSN:
0278-3649
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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