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T. Bito

dblp:139/6121 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1996
—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 · 100%

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
0.011996
An efficient algorithm for the model-based adaptive control of robotic manipulators · IEEE Trans. Robotics Autom. 1996
Robotics › Motion planning and robot control › robot control › adaptive control
model-based adaptive control
0.011996
An efficient algorithm for the model-based adaptive control of robotic manipulators · IEEE Trans. Robotics Autom. 1996
Robotics › Motion planning and robot control › robot dynamics › equations of motion
newton-euler formulation
0.011996
An efficient algorithm for the model-based adaptive control of robotic manipulators · IEEE Trans. Robotics Autom. 1996
Robotics › Motion planning and robot control
robot control
0.011996
An efficient algorithm for the model-based adaptive control of robotic manipulators · IEEE Trans. Robotics Autom. 1996
Robotics › Motion planning and robot control
robot dynamics
0.011996
An efficient algorithm for the model-based adaptive control of robotic manipulators · IEEE Trans. Robotics Autom. 1996

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

slotine-li adaptive control · 0.0recursive newton-euler algorithm · 0.0
YearPublicationVenuePosition
1996 An efficient algorithm for the model-based adaptive control of robotic manipulators
abstract
This paper presents a new computational algorithm of the model-based adaptive manipulator control, adopting the basic method proposed by Slotine and Li (1987). The manipulator regressor that is represented by an actual velocity vector and a reference velocity vector is computed explicitly by a recursive algorithm based on the Newton-Euler formulation. The proposed algorithm is more efficient than other methods for a manipulator with six or fewer joints. An experimental result is also presented to show the possibility of an adaptive controller having a single DSP for a robot manipulator with six degrees of freedom.
Haruhisa Kawasaki, T. Bito, Kazuo Kanzaki
IEEE Trans. Robotics Autom.2