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Fumio Saijyo

dblp:34/7737 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2009
—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
Legged, aerial and field robots · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › locomotion
crawling locomotion
0.112009
Crawling by body deformation of tensegrity structure robots · ICRA 2009
Robotics › Legged, aerial and field robots › bio-inspired robot
tensegrity robot
0.112009
Crawling by body deformation of tensegrity structure robots · ICRA 2009

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

topological transition graphs · 0.1cable-graph analysis · 0.1
YearPublicationVenuePosition
2009 Crawling by body deformation of tensegrity structure robots
abstract
In this paper, we describe the design of a deformable robot with a tensegrity structure that can crawl and we show the results of experiments showing the ability of these robots to crawl. We first describe a tensegrity structure, composed of struts and cables, and its characteristics. We next explain the principle of crawling by robot body deformation, followed by a classification of the methods by which a body can be deformed and the contact conditions of the robot through the cable-graph of the tensegrity structure. We also describe topological transition graphs that can visualize crawling from each initial contact condition. We then discuss the characteristics of the proposed robot in terms of design freedom. Finally, we show experimentally that the prototype of a tensegrity robot can crawl.
Mizuho Shibata, Fumio Saijyo, Shinichi Hirai
ICRA2