Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data.

Manabu Yatsurugi

dblp:94/10334 · DBLP profile ↗
← Back
3ranked-venue papers
1as first author
0since 2021 · last 2014
—ORCID · none

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

Artificial intelligence and machine learning · 3 · 1 first-authorSystems, architecture and hardware · 3 · 1 first-author

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
2 papers
Motion planning and robot control · 67% Robot manipulation · 33%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › micro/nano robotics
microrobot
0.212014
Modeling and primary experiment of a 3-axis PID control with 50 nm resolution for a holonomic precision inchworm robot · ICRA 2014
Robotics › Motion planning and robot control › robot control › feedback control
PID control
0.212014
Modeling and primary experiment of a 3-axis PID control with 50 nm resolution for a holonomic precision inchworm robot · ICRA 2014
Robotics › Motion planning and robot control
robot control
0.212014
Modeling and primary experiment of a 3-axis PID control with 50 nm resolution for a holonomic precision inchworm robot · ICRA 2014
Robotics › Motion planning and robot control › robot control › controller design
feedforward control
0.212013
Design of an integrated 3DoF inner position sensor and 2DoF feedforward control for a 3DoF precision inchworm mechanism · ICRA 2013
Robotics › Robot manipulation
precision positioning
0.212013
Design of an integrated 3DoF inner position sensor and 2DoF feedforward control for a 3DoF precision inchworm mechanism · ICRA 2013
Robotics › Motion planning and robot control › trajectory optimization
time-optimal trajectory
0.212013
Design of an integrated 3DoF inner position sensor and 2DoF feedforward control for a 3DoF precision inchworm mechanism · ICRA 2013

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

linear encoders · 0.2feedforward control · 0.2PID control · 0.2kinematic modeling · 0.2
YearPublicationVenuePosition
2014 Modeling and primary experiment of a 3-axis PID control with 50 nm resolution for a holonomic precision inchworm robot
abstract
In this paper, we describe design and development of a 3-axis proportional-integral-derivative (PID) controller for a holonomic precision inchworm robot. The mechanism has two Y-shaped electromagnets and six piezoelectric actuators (PAs) for obtaining 3-degrees-of-freedom (3DoF) motion on well-polished ferromagnetic surfaces. To measure its 3DoF position simultaneously, an integrated 3DoF inner position sensor composed of 4 linear encoders are developed. In experiments, we have checked that this arrangement of the encoders is valid for measuring the 3DoF motion under a condition without disturbance. To be robust against the disturbance, we also discuss requirement of an acceleration feedforward controller with 3 motion sensors to detect disturbance and slips of supporting electromagnet. This paper is first article which demonstrates simultaneous 3-axis PID control with nanometer-scale positioning resolution of miniature mobile robot driven by PAs. We also discuss about the future direction of the realization of compact, precise, fast, flexible, and energy-efficient mobile robotic factory.
Manabu Yatsurugi, A. Oi, Ohmi Fuchiwaki, Takehiro Higuchi
ICRA1
2013 Design of an integrated 3DoF inner position sensor and 2DoF feedforward control for a 3DoF precision inchworm mechanism
abstract
In this paper, we describe a newly proposed design of an integrated three-degrees-of-freedom (3DoF) inner position sensor for an omnidirectional and holonomic inchworm mobile mechanism. The mechanism has two Y-shaped electromagnets and six piezoelectric actuators for obtaining 3DoF inchworm motion on well-polished ferromagnetic surfaces. We calculate conversion equations from four measured distances to X-, Y-, and θ-axis motion. We also explain how to make the input signals to realize the minimum time trajectory of free electromagnets with a newly proposed special kinematic model as an additional condition for energy-efficient control. Details of the design and performance are also described to realize flexible, compact, and high-accuracy positioning in precision engineering.
Ohmi Fuchiwaki, Manabu Yatsurugi, Arato Ogawa
ICRA2
2011 Development of a 3-DOF inchworm mechanism organized by a pair of Y-shaped electromagnets and 6 piezoelectric actuators-design, principle, and experiments of translational motions-
abstract
In this paper, we describe the design and development of the newly developed 3-DOF inchworm mechanism with 6 contact points on a surface to improve a positioning repeatability. The mechanism consists of a pair of Y-shaped electromagnets and six piezoelectric actuators and moves like an inchworm. We calculate a 3-DOF simple harmonic vibration model to get input signals in any 3-DOF motions. In several experiments, we confirm that the mechanism has better positioning repeatability than in previous mechanisms with 4 contact points, especially when the mechanism carries a payload. The design details and basic performance are described to contribute to flexible precise positioning technology.
Ohmi Fuchiwaki, Manabu Yatsurugi, Suguru Omura, Kazushi Arafuka
IROS2