Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Tatsuya Sakuma

dblp:180/0910 · DBLP profile ↗
← Back
4ranked-venue papers
3as first author
2since 2021 · last 2022
—ORCID · none

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

Artificial intelligence and machine learning · 4 · 3 first-author · 2 since 2021Systems, architecture and hardware · 4 · 3 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
2 papers
Robot manipulation · 100%
Human-computer interaction and pervasive computing
1 paper
Personal fabrication and tangible interfaces · 77% Haptics and multimodal interaction · 23%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
assembly
1.122022
Soft-Jig: A Flexible Sensing Jig for Simultaneously Fixing and Estimating Orientation of Assembly Parts · ICRA 2022
Soft-Jig-Driven Assembly Operations · ICRA 2021
Robotics › Robot manipulation
grasping, dexterous and mobile manipulation
0.612022
Soft-Jig: A Flexible Sensing Jig for Simultaneously Fixing and Estimating Orientation of Assembly Parts · ICRA 2022
Personal fabrication and tangible interfaces
soft robotics
0.612022
Soft-Jig: A Flexible Sensing Jig for Simultaneously Fixing and Estimating Orientation of Assembly Parts · ICRA 2022
Haptics and multimodal interaction
tactile sensing
0.212022
Soft-Jig: A Flexible Sensing Jig for Simultaneously Fixing and Estimating Orientation of Assembly Parts · ICRA 2022
Robotics › Robot manipulation
grasping
0.112021
Soft-Jig-Driven Assembly Operations · ICRA 2021
Robotics › Robot manipulation › grasping › soft gripper
jamming gripper
0.112021
Soft-Jig-Driven Assembly Operations · ICRA 2021

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

jamming transition · 1.6marker-based pose estimation · 1.1contact relations · 0.5
YearPublicationVenuePosition
2022 Soft-Jig: A Flexible Sensing Jig for Simultaneously Fixing and Estimating Orientation of Assembly Parts
abstract
For assembly tasks, it is essential to fix target parts firmly and accurately estimate their poses. Several rigid jigs for individual parts are frequently used in assembly factories to achieve a precise and time-efficient product assembly. However, providing customized jigs is time-consuming. In this study, to address the lack of versatility in the shapes for which jigs can be used, we developed a flexible jig with a soft membrane including transparent beads and oil with a tuned refractive index. The bead-based jamming transition was accomplished by discharging only the oil, enabling the part to be firmly fixed. Because the two cameras under the jig can capture membrane shape changes, we proposed a sensing method to estimate the orientation of the part based on the behaviors of markers created on the jig's inner surface. Through estimation experiments, the proposed system can estimate the orientation of a cylindrical object with a diameter larger than 50 mm and an RMSE of less than 3°.
Tatsuya Sakuma, Takuya Kiyokawa, Jun Takamatsu, Takahiro Wada, Tsukasa Ogasawara
ICRA1
2021 Soft-Jig-Driven Assembly Operations
abstract
To design a general-purpose assembly robot system that can handle objects of various shapes, we propose a soft jig that fits to the shapes of assembly parts. The functionality of the soft jig is based on a jamming gripper developed in the field of soft robotics. The soft jig has a bag covered with a malleable silicone membrane, which has high friction, elongation, and contraction rates for keeping parts fixed. The bag is filled with glass beads to achieve a jamming transition. We propose a method to configure parts-fixing on the soft jig based on contact relations, reachable directions, and the center of gravity of the parts that are fixed on the jig. The usability of the soft jig was evaluated in terms of the fixing performance and versatility for various shapes and postures of parts.
Takuya Kiyokawa, Tatsuya Sakuma, Jun Takamatsu, Tsukasa Ogasawara
ICRA2
2019 A Parallel Gripper with a Universal Fingertip Device Using Optical Sensing and Jamming Transition for Maintaining Stable Grasps
abstract
For a robotic gripper to perform as well as the human hand, the performance of the tactile sensing and grasping of the gripper must be improved. In this study, a parallel gripper with a universal fingertip device that combines both object holding using jamming transition and optical sensing is proposed. By using a transparent material along with the jamming transition, both a tactile sense is achieved via optical sensing and the holding stability is improved by tightly restraining the object. Because the hardness of the contact region of the membrane can be adjusted, the gripper can grasp heavy objects as well as light objects. In this paper, the structure of the developed gripper and its grasping characteristics are described, and the experimental results from grasping and sensing are presented. It is experimentally shown that the proposed gripper is capable of both grasping fragile objects (such as an egg and tofu) by using tactile sensing and grasping dumbbells (with weights between 1-3 kg) by using jamming transition. Additionally, grasping a plastic cup, the proposed gripper demonstrated the potential of combining tactile sensing and more-constrained grasping.
Tatsuya Sakuma, Elaine Phillips, Gustavo Alfonso Garcia Ricardez, Ming Ding 0002, Jun Takamatsu, Tsukasa Ogasawara
IROS1
2018 A Universal Gripper Using Optical Sensing to Acquire Tactile Information and Membrane Deformation
abstract
The universal gripper has attracted attention due to its simple structure and advanced grasping ability for irregularly shaped objects. In this research, we propose a novel design for a granular-jamming-based gripper which uses a transparent filling and a semi-transparent membrane to allow optical sensing to detect both deformation of the membrane and the object being grasped. By adjusting the refractive index of an oil mixture to the refractive index of the granular bodies, we produced a fully transparent filling that allows the use of a camera inside the universal gripper. In this paper, we present the materials and development of our prototype, and describe the experimental confirmation of the prototype's performance. We showed that our prototype was able to grasp cylindrical and rectangular objects between 10 to 70 mm length while also tracking the deformation of the gripper.
Tatsuya Sakuma, Felix von Drigalski, Ming Ding 0002, Jun Takamatsu, Tsukasa Ogasawara
IROS1