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Shunya Hara

dblp:282/2235 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author · 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
grasping
0.912025
Juzu Type Gripper That Can Change Both Shape and Firmness · ICRA 2025
Robotics › Robot manipulation › actuator design › variable stiffness
variable stiffness gripper
0.912025
Juzu Type Gripper That Can Change Both Shape and Firmness · ICRA 2025
Robotics › Robot manipulation › grasping
gripper design
0.312025
Juzu Type Gripper That Can Change Both Shape and Firmness · ICRA 2025

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

tendon-driven actuation · 0.9jamming-based stiffness control · 0.9
YearPublicationVenuePosition
2025 Juzu Type Gripper That Can Change Both Shape and Firmness
abstract
This paper presents a novel gripper capable of actively changing both shape and firmness. The gripper increases its grasp ability by changing its finger posture and firmness suitable for given target objects. In the proposed gripper, each finger is constructed by serially connecting multiple Juzu units. By controlling the angles between neighboring Juzu units individually using two actuators used for sending and bending, arbitrary finger shapes can be generated. In addition, by controlling the tension of the wire that penetrated all Juzu units in each finger, the friction between Juzu units is adjusted and the firmness of finger can be varied. A prototype gripper was designed and developed, and experiments to evaluate the capabilities of changing shape and firmness were conducted. Furthermore, through experiments of preshaping and grasping for various objects with different shape and size, the validity of the proposed method was demonstrated.
Shunya Hara, Osamu Fukuda, Mitsuru Higashimori
ICRA1