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dblp:117/7019 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0003-4981-6273ORCID · 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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › soft robotics
soft actuator
0.712023
A Restorable, Variable Stiffness Pneumatic Soft Gripper Based on Jamming of Strings of Beads · IEEE Trans. Robotics 2023
Robotics › Robot manipulation › grasping
soft gripper
0.712023
A Restorable, Variable Stiffness Pneumatic Soft Gripper Based on Jamming of Strings of Beads · IEEE Trans. Robotics 2023
Robotics › Robot manipulation › actuator design › variable stiffness
variable stiffness gripper
0.712023
A Restorable, Variable Stiffness Pneumatic Soft Gripper Based on Jamming of Strings of Beads · IEEE Trans. Robotics 2023

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

pneumatic actuation · 0.7particle jamming · 0.7
YearPublicationVenuePosition
2023 A Restorable, Variable Stiffness Pneumatic Soft Gripper Based on Jamming of Strings of Beads
abstract
Soft robots based on particle jamming cannot return to the initial position and initial mechanical state due to the accumulation of particles after removing the particle jamming, which means poor restorability, and the compliance of the robots during deformation will be reduced because of the jamming effect. Here, we present the design, fabrication, and tests of a novel soft actuator with good restorability and compliance. To improve the restorability of the actuator, we used cotton threads to connect the spherical acrylic beads into form strings instead of discrete beads. The beads could be pulled to the initial position by the threads, the actuator also returns to the initial state. To avoid the jamming effect during the deformation of the actuator, we used compressed air to drive the actuator and injected the beads into the actuator after the active deformation. To reduce the driving pressure and facilitate the flow of the beads, an initial noncontact, frame-type strain constraint structure was designed for the soft actuator. Experimental data show that the actuator was flexible during bending and the stiffness can increase more than 12-fold to resist the external load. By pulling the threads, the actuator could be restored to the initial state with an error of less than 3% of the actuator length after an operation cycle. The soft gripper based on the actuator can grasp repeatedly or laterally. The gripper can grasp soft objects such as a piece of tofu and a balloon of water, and the maximum weight that can be stably grasped is 2.744 kg.
Fenglin Han, Lei Fei, Run Zou, Jinghao Zhou, Haiming Zhao
IEEE Trans. Robotics3