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A. Takeyama

dblp:246/7701 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

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 · 77% Legged, aerial and field robots · 23%

Topics — the 2 heaviest of 2, 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 · 0.4
YearPublicationVenuePosition
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
ICRA3