Yohei Hoshino

dblp:77/7743 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2011
0000-0003-1052-7079ORCID · verified

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
Motion planning and robot control · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
flexible manipulator control
0.112011
Hybrid sliding mode control with optimization for flexible manipulator under fast motion · ICRA 2011
Robotics › Motion planning and robot control
robot control
0.112011
Hybrid sliding mode control with optimization for flexible manipulator under fast motion · ICRA 2011
Robotics › Motion planning and robot control › robot control
sliding mode control
0.112011
Hybrid sliding mode control with optimization for flexible manipulator under fast motion · ICRA 2011
Robotics › Motion planning and robot control › robot control
vibration suppression
0.012011
Hybrid sliding mode control with optimization for flexible manipulator under fast motion · ICRA 2011

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

trajectory optimization · 0.1sliding mode control · 0.1feedforward-feedback control · 0.1
YearPublicationVenuePosition
2011 Hybrid sliding mode control with optimization for flexible manipulator under fast motion
abstract
The modeling and vibration analysis of a flexible manipulator considering a nonlinearity and effect from the gravity imply a singular problem. In order to avoid the singularity, the dynamic equation is decomposed into two subsystems, including flexible dynamic subsystem and rigid dynamic subsystem. A combined feed-forward and feedback control scheme is presented to design the controller of the flexible manipulator. In the combined control, an optimization is applied to obtain the desired trajectory based on the flexible dynamic subsystem. As we know, the optimization is dependent on the accuracy of model but there are inevitably errors of model and external disturbances. The feedback control is expected with high robustness and fast convergence to overcome the problem. In order to improve the performance of control, a hybrid sliding mode control (HySMC) is proposed to track the desired trajectory and further suppress the residual vibration. This paper presents the theoretical derivation and experimental verification of the proposed controller.
Haibin Yin, Yukinori Kobayashi, Yohei Hoshino, Takanori Emaru
ICRA3
2009 Apply nonlinear filter ESDS to quantized sensor data
abstract
Proportional-Integral-Derivative (PID) control is widely used to control mechanical systems. In PID control technique, however, there are limits to the accuracy of the resulting movement because of the influence of gravity, friction, and interaction of joints caused by modeling errors. Digital acceleration control has robustness for the modeling errors. But it requires position, velocity, and acceleration of a controlled object to construct a controller. In this paper, we use the novel digital differentiator, ESDS. It enables digital acceleration control without increasing the number of sensors. Furthermore, the proposed method works effectively for quantized sensor data. The validity of the proposed method is confirmed by simulations and experiments using 2-link manipulator.
Takanori Emaru, Ryou Sase, Yohei Hoshino, Yukinori Kobayashi
IROS3