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Osamu Azami

dblp:193/7677 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2024
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 1 first-author · 2 since 2021Systems, architecture and hardware · 2 · 1 first-author · 2 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 › robotic hand
soft robotic hand
0.712023
Development of Hydraulically-driven Soft Hand for Handling Heavy Vegetables and its Experimental Evaluation · ICRA 2023
Robotics › Robot manipulation
soft robotics
0.712023
Development of Hydraulically-driven Soft Hand for Handling Heavy Vegetables and its Experimental Evaluation · ICRA 2023
Robotics › Robot manipulation
grasping
0.212023
Development of Hydraulically-driven Soft Hand for Handling Heavy Vegetables and its Experimental Evaluation · ICRA 2023

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

hydraulic actuation · 0.7
YearPublicationVenuePosition
2024 Modeling of Hydraulic Soft Hand with Rubber Sheet Reservoir and Evaluation of its Grasping Flexibility and Control
abstract
In situations where robots work alongside humans, they must be capable of responding flexibly to unexpected external forces. To address this challenge, researchers have conducted numerous studies on soft robotics. However, most of the soft hands studied so far are powered by pneumatic pressure and can only exert pressure up to a several hundred kPa, resulting in low output. To solve this problem, we have developed a hydraulic soft hand in our previous research. In this paper, we derive the relationship between driving pressure, bending angle, and grasping force of a soft hand with a reservoir to evaluate the effect of a rubber sheet reservoir. Additionally, we experimentally show that the soft hand provides grasping flexibility when angle control is applied using the model proposed in this paper.
Kyosuke Ishibashi, Hiroki Ishikawa, Osamu Azami, Ko Yamamoto 0001
IROS3
2023 Development of Hydraulically-driven Soft Hand for Handling Heavy Vegetables and its Experimental Evaluation
abstract
In this study, we develop a hydraulically-driven soft robotic hand for handling heavy vegetables in a vegetable factory and report its experimental validations. The working population in agriculture is decreasing worldwide, creating a lot of demands for the robotic automation in harvest and trans-portation of agricultural produces. In particular, a vegetable factory deals with large and heavy vegetables, e.g., cabbages, with 2–3 kg weight and 20–30 cm diameter. A soft robot hand is suitable for handling a food or vegetable; however, most of existing soft robot hands cannot generate necessary output because they are usually actuated by the air-pressure. Therefore, we employ the hydraulic actuation for our soft hand to generate 1 or 2 MPa pressure. Using the developed soft hand, we report experimental validations including basic control performance evaluation and grasping experiments assuming a vegetable factory environment.
Osamu Azami, Kyosuke Ishibashi, Mitsuo Komagata, Ko Yamamoto 0001
ICRA1