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Masashi Horiuchi

dblp:18/898 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2000
—ORCID · none

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

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2

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% Motion planning and robot control · 23%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › force sensing
joint torque sensing
0.012000
Velocity Dependence of the Characteristics of Harmonic Drive Built-in Torque Sensing · ICRA 2000
Robotics › Robot manipulation
robot sensing
0.012000
Velocity Dependence of the Characteristics of Harmonic Drive Built-in Torque Sensing · ICRA 2000
Robotics › Motion planning and robot control › robot control › torque control
joint torque control
0.012000
Velocity Dependence of the Characteristics of Harmonic Drive Built-in Torque Sensing · ICRA 2000
Robotics › Motion planning and robot control
robot control
0.012000
Velocity Dependence of the Characteristics of Harmonic Drive Built-in Torque Sensing · ICRA 2000

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

experimental characterization · 0.0
YearPublicationVenuePosition
2000 Velocity Dependence of the Characteristics of Harmonic Drive Built-in Torque Sensing
abstract
We have proposed practical torque sensing which utilizes a flexible part of a harmonic drive gear. The sensing technique provides joint torque sensing without reducing stiffness of the robot and changing the mechanical structure of the joints. The characteristics of the torque sensing have been studied under an immovable condition. The dependence of characteristics on the rotational velocity have not been discussed. We describe the characteristics under rotational conditions of the harmonic drive. The experimental results show that the accuracy of the torque sensing under high velocity rotation is 2% of the gear torque capacity.
Minoru Hashimoto, Takashi Ishizuka, Ivan Godler, Masashi Horiuchi
ICRA4
2000 Improved performance of built-in torque sensing for harmonic drives
abstract
Torque sensing built into harmonic drives has advantages in its size and stiffness comparing to the torque sensors added to the robot joints. A relatively high fluctuation signal of a built-in torque sensor is a drawback in its practical applications. However, we present a simple and effective method to compensate the fluctuation signal and thus improve an overall accuracy of the harmonic drive built-in torque sensing. The method does not require precise positioning of the strain gauges, does not require online-estimations of the fluctuation signal, and does not increase the number of applied strain gauges. It requires initial tuning of the gains. For the signals of the separate strain gauges, two techniques to define the gains are presented: one is based on a mathematical model of the fluctuation signal, and the other employs a heuristic approach. Practical results show the effectiveness and usefulness of the proposed method.
Ivan Godler, Tamotsu Ninomiya, Masashi Horiuchi, Minoru Hashimoto
IROS3