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Tadahiko Inaba

dblp:80/740 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1998
—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 · 46% Motion planning and robot control · 23% Planning, search and constraint satisfaction · 23%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
field robotics		 0.011998
Guidance and Control of Fish Robot with Apparatus of Pectoral Fin Motion · ICRA 1998
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › intelligent control
fuzzy control		 0.011998
Guidance and Control of Fish Robot with Apparatus of Pectoral Fin Motion · ICRA 1998
Robotics › Motion planning and robot control
robot control		 0.011998
Guidance and Control of Fish Robot with Apparatus of Pectoral Fin Motion · ICRA 1998
Robotics › Legged, aerial and field robots
underwater robotics		 0.011998
Guidance and Control of Fish Robot with Apparatus of Pectoral Fin Motion · ICRA 1998
Robotics › Robot navigation and mapping › mobile robot navigation
guidance and control		 0.011998
Guidance and Control of Fish Robot with Apparatus of Pectoral Fin Motion · ICRA 1998

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

fuzzy control · 0.0
YearPublicationVenuePosition
1998 Guidance and Control of Fish Robot with Apparatus of Pectoral Fin Motion
abstract
Deals with (1) a manoeuvre test in the horizontal plane of a fish robot equipped with a pair of apparatus for pectoral fin motion on both sides and (2) guidance and control of the fish robot in the horizontal plane. The fish robot consisting of a fish body model and a pair of apparatus for pectoral fin motion has high performance of manoeuvrability such as turning in the same position. The use of fuzzy control enables the fish robot to perform rendezvous and docking with an underwater post in a water current.
Naomi Kato, Tadahiko Inaba
 ICRA2