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Atsushi Sugahara

dblp:143/6794 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

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

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2

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 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping
0.412020
Parallel gripper with displacement-magnification mechanism and extendable finger mechanism · ICRA 2020
Robotics › Robot manipulation › grasping
gripper design
0.412020
Parallel gripper with displacement-magnification mechanism and extendable finger mechanism · ICRA 2020
Robotics › Robot manipulation › grasping › gripper design
parallel-jaw gripper
0.412020
Parallel gripper with displacement-magnification mechanism and extendable finger mechanism · ICRA 2020

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

rack-and-pinion mechanism · 0.4extendable finger · 0.4
YearPublicationVenuePosition
2020 Parallel gripper with displacement-magnification mechanism and extendable finger mechanism
abstract
We propose a gripper displacement-magnification mechanism and an extendable finger mechanism, both of which can be attached to a commercially available parallel gripper. We then verify the operation of the mechanism in order to expand applications of the parallel gripper. The displacement-magnification mechanism has a stacked rack-and-pinion system that doubles displacement. The extendable finger mechanism has two nails that extend and contract, reducing impact force and detecting changes in product height from expansion and contraction amounts. The parallel gripper has a width of 95 mm, a depth of 110 mm, and a height of 214 mm and weighs 1.36 kg. It has an open/close stroke of 60 mm, a gripping force of 7.4 N, and an opening/closing speed of 100 mm/s or more. Further, it was confirmed that the ends and inclinations of products can be reliably detected using the extending/contracting nail. The mechanism verification confirmed that our parallel gripper achieved the desired performance and is therefore useful.
Junya Tanaka, Atsushi Sugahara
ICRA2
2018 A Gripper System for Robustly Picking Various Objects Placed Densely by Suction and Pinching
abstract
Suction is an effective method for picking various objects because it makes trajectory planning and control easy. However, suction has not been used due to misalignment and leakage of suction air when handling a variety of shapes. We therefore develop a hand to handle these characteristics. First, we model the vacuum pump and pad characteristics to allow evaluation of momentum and suction force in the case of leakage. Utilizing this, we select a configuration suitable for the items in the Amazon Robotics Challenge 2017. In addition, we design a mechanism for switching from suction to pinching for grasping items that cannot be sucked. Moreover, robust pinching is made possible by equipping the fingertips with a passive linear motion mechanism. In the Amazon Robotics Challenge 2017, it was shown possible to stably grasp items with irregularities and items with large moments. Furthermore, items that cannot be grasped by suction can also be grasped robustly by switching to the pinching mechanism.
Hideichi Nakamoto, Masashi Ohtake, Kazuma Komoda, Atsushi Sugahara, Akihito Ogawa
IROS4