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Yuji Adachi

dblp:05/1483 · DBLP profile ↗
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4ranked-venue papers
0as 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 · 2Systems, architecture and hardware · 2Graphics, computer vision, multimedia, augmented reality and games · 2 · 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
2 papers
Robot manipulation · 74% Legged, aerial and field robots · 25% Motion planning and robot control · 1%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping
0.412019
Adsorption Pad using Capillary Force for Uneven Surface · ICRA 2019
Robotics › Legged, aerial and field robots › field robotics
wall-climbing robot
0.112019
Adsorption Pad using Capillary Force for Uneven Surface · ICRA 2019

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

water sealing · 0.4salt reaching method · 0.4capillary force · 0.4parallel link mechanism · 0.0linear actuator · 0.0
YearPublicationVenuePosition
2025 Operatic Singing Voice Synthesis From Inexperienced Voice Considering Tempo and Vowel Change
Aoto Sugahara, Soma Kishimoto, Yuji Adachi, Kiyoto Tai, Ryoichi Takashima, Tetsuya Takiguchi
MMM (3)3
2019 Adsorption Pad using Capillary Force for Uneven Surface
abstract
We propose a novel adsorption pad for wall climbing robot and irregular surface object using capillary force and water sealing. We call this adsorption pad as Super Wet Adsorption pad. The SWA pad has a porous part and a capillary part. The porous part is made by salt reaching method. When the SWA pad adsorbs to the wall which some sand and dust are attached, water comes from the porous part to avoid vacuum breaking. The capillary part is connected to the porous part to supply and stock the water. In this paper, we show the design of the porous part and the capillary part, fabrication process of each parts, and perform the evaluation experiment of the capillary force and adsorption of uneven surfaces, demonstration of wall climbing robot and adsorption of irregular surface foods.
Akihiko Ichikawa, S. Kajino, A. Takeyama, Yuji Adachi, K. Totsuka, Yusuke Ikemoto, Kenichi Ohara, Takeo Oomichi, Toshio Fukuda
ICRA4
2018 Spectrum Enhancement of Singing Voice Using Deep Learning
abstract
In this paper, we propose a novel singing-voice enhancement system that makes the singing voice of amateurs similar to that of professional opera singers, where the singing voice of amateurs is emphasized by using a singing voice of a professional opera singer on a frequency band that represents the remarkable characteristic of the professional singer. Moreover, our proposed singing-voice enhancement based on highway networks is able to convert any song (that a professional opera singer does not sing). As a result of our experiments, the singing voice of the amateur singer at the middle-high frequency range which contains a lot of frequency components that affect glossiness was emphasized while maintaining speaker characteristics.
Ryuka Nanzaka, Tsuyoshi Kitamura, Tetsuya Takiguchi, Yuji Adachi, Kiyoto Tai
ISM4
1995 Posture Control of 6-Leg Walking Robot
abstract
This paper describes a walking method and inclination control experiments of the new omni-directional walking robot, which has six legs and can move in any direction. The mechanism consists of a parallel link mechanism connecting the two frames with three linear actuators. Legs are attached to each frame. The relative position and angle of the two frames are selected arbitrarily in accordance with the length of three actuators, and the posture of it's upper surface are changed with extendable legs. The walking mechanism is composed by combining the two functions. The mechanism and control method of this robot are presented in this paper.
Toshio Fukuda, Yuji Adachi, Haruo Hoshino, Kazuhiro Kosuge, Isao Matsunaga, Fumihito Arai
ICRA2