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Takashi Isoda

dblp:12/7902 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2002
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 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
Motion planning and robot control · 54% Legged, aerial and field robots · 46%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
adaptive control
0.012002
Omni-directional robot and adaptive control method for off-road running · IEEE Trans. Robotics Autom. 2002
Robotics › Legged, aerial and field robots
field robotics
0.012002
Omni-directional robot and adaptive control method for off-road running · IEEE Trans. Robotics Autom. 2002
Robotics › Legged, aerial and field robots › unmanned ground vehicle
off-road mobile robot
0.012002
Omni-directional robot and adaptive control method for off-road running · IEEE Trans. Robotics Autom. 2002
Robotics › Motion planning and robot control
robot control
0.012002
Omni-directional robot and adaptive control method for off-road running · IEEE Trans. Robotics Autom. 2002
Robotics › Motion planning and robot control › robot control
trajectory tracking
0.012002
Omni-directional robot and adaptive control method for off-road running · IEEE Trans. Robotics Autom. 2002

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

position-velocity control · 0.0adaptive control · 0.0
YearPublicationVenuePosition
2002 Omni-directional robot and adaptive control method for off-road running
abstract
This paper presents an off-road omni-directional mobile robot (OOMR) which can run on an uneven road and obstacles. The robot is constructed with four crawler-roller-motor units and can also be called a "roller-crawler type of omni-directional mobile robot." Each crawler-roller-motor unit can be driven independently and the motion of the robot can be controlled by the speed of each motor. We also designed a position and velocity control system for the robot. The robot can be automatically controlled to run in an optional direction and to track an orbit. We also show the adaptive control method for the OOMR. The efficiency of the mechanism and the control method has been verified by many practical running tests and computer simulations.
Shinichiro Mitsutake, Takashi Isoda, Tielin Shi
IEEE Trans. Robotics Autom.3