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Samuel J. Wohlever

dblp:313/8147 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0002-6244-047XORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

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%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping
0.612022
Shake and Take: Fast Transformation of an Origami Gripper · IEEE Trans. Robotics 2022
Robotics › Robot manipulation › robot manipulator
robot arm
0.212022
Shake and Take: Fast Transformation of an Origami Gripper · IEEE Trans. Robotics 2022

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

vertex characterization · 0.6
YearPublicationVenuePosition
2022 Shake and Take: Fast Transformation of an Origami Gripper
abstract
Origami structures can transform their form and function by changing the direction of their folds. This reconfiguration can enable multifunctional robots, but doing so requires a fast, robust, and repeatable actuation method. In this article, we present an origami gripper that uses dynamic transformation to change its kinematic behavior in less than a second. We characterize individual vertices to show that the transformation is predictable and repeatable for different designs and orientations. We then apply it to a multivertex template that is capable of a wide range of shapes and motion patterns, indicating that transformation can be generalized to complex and functional machines. To demonstrate this, we built a transforming origami gripper on a robotic arm to pick up multiple objects. Demonstrations show that the gripper can quickly reconfigure between three different grasping modes and has sufficient stiffness to engage with and lift multiple objects with distinct geometries.
Chang Liu 0022, Samuel J. Wohlever, Maria B. Ou, Taskin Padir, Samuel M. Felton
IEEE Trans. Robotics2