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Helen J. Xu

dblp:246/7913 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Robot manipulation · 100%
Computer graphics and multimedia
1 paper
Computational fabrication · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › grasping
soft gripper
0.412019
A Vacuum-driven Origami "Magic-ball" Soft Gripper · ICRA 2019
Computational fabrication › soft robotics
soft robot design
0.412019
A Vacuum-driven Origami "Magic-ball" Soft Gripper · ICRA 2019
Robotics › Robot manipulation
grasping
0.112019
A Vacuum-driven Origami "Magic-ball" Soft Gripper · ICRA 2019

Methods — techniques the papers use, named apart from their topics

pneumatic actuation · 0.8origami folding · 0.8
YearPublicationVenuePosition
2019 A Vacuum-driven Origami "Magic-ball" Soft Gripper
abstract
Soft robotics has yielded numerous examples of soft grippers that utilize compliance to achieve impressive grasping performances with great simplicity, adaptability, and robustness. Designing soft grippers with substantial grasping strength while remaining compliant and gentle is one of the most important challenges in this field. In this paper, we present a light-weight, vacuum-driven soft robotic gripper made of an origami “magic-ball” and a flexible thin membrane. We also describe the design and fabrication method to rapidly manufacture the gripper with different combinations of low-cost materials for diverse applications. Grasping experiments demonstrate that our gripper can lift a large variety of objects, including delicate foods, heavy bottles, and other miscellaneous items. The grasp force on 3D-printed objects is also characterized through mechanical load tests. The results reveal that our soft gripper can produce significant grasp force on various shapes using negative pneumatic pressure (vacuum). This new gripper holds the potential for many practical applications that require safe, strong, and simple grasping.
Shuguang Li 0005, John J. Stampfli, Helen J. Xu, Elian Malkin, Evelin Villegas Diaz, Daniela Rus, Robert J. Wood
ICRA3