Michihisa Iida

dblp:77/2087 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2003
—ORCID · none

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

Artificial intelligence and machine learning · 3Systems, architecture and hardware · 3

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 · 46% Robot manipulation · 40% Legged, aerial and field robots · 13%

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
0.012003
Control of a Heavy Material Handling Agricultural Manipulator Using mu-Synthesis and Robust Gain Scheduling · ICRA 2003
Robotics › Motion planning and robot control › robot control
robust control
0.012003
Control of a Heavy Material Handling Agricultural Manipulator Using mu-Synthesis and Robust Gain Scheduling · ICRA 2003
Robotics › Robot manipulation › end effector
grasping and manipulation hardware
0.012002
Heavy Material Handling Manipulator for Agricultural Robot · ICRA 2002
Robotics › Robot manipulation
parallel manipulator
0.012002
Heavy Material Handling Manipulator for Agricultural Robot · ICRA 2002
Robotics › Legged, aerial and field robots › field robotics
agricultural robotics
0.022003
Control of a Heavy Material Handling Agricultural Manipulator Using mu-Synthesis and Robust Gain Scheduling · ICRA 2003
Heavy Material Handling Manipulator for Agricultural Robot · ICRA 2002

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

robust gain scheduling · 0.0LQ control · 0.0kinematic indices · 0.0
YearPublicationVenuePosition
2003 Control of a Heavy Material Handling Agricultural Manipulator Using mu-Synthesis and Robust Gain Scheduling
abstract
An experimental study is presented on control of a heavy material handling agricultural manipulator using robust control. The harvesting of heavy vegetables and organic compost fertilization requires hard manual labor. For heavy material handling, an agricultural robot was proposed in the first step. And then a control system using LQ control was designed and high-speed manipulation was realized in the second step. In this paper, we designed a control system to achieve robust performance in the presence of uncertainty. The robotic harvesting experiment was done in the watermelon field and the use of robust gain scheduling and /spl mu/-synthesis was confirmed.
Satoru Sakai, Koichi Osuka, Michihisa Iida, Mikio Umeda
ICRA3
2002 Heavy Material Handling Manipulator for Agricultural Robot
abstract
This paper presents a manipulator which is able to handle heavy materials for agricultural applications. The characteristics of agricultural operation are discussed and extracted. As the manipulator for handling heavy materials is analyzed using kinematic indices, the parallel type manipulator is shown to be superior to the other manipulators (i.e. the polar coordinate type, articulated type and cylindrical coordinate type manipulators). A parallel type manipulator has therefore been designed and developed. The robotic harvesting experiment was carried out using the parallel type manipulator in a watermelon field.
Satoru Sakai, Michihisa Iida, Mikio Umeda
ICRA2
2002 Watermelon harvesting experiment of a heavy material handling agricultural robot with LQ control
abstract
For heavy material handling, we first propose an agricultural robot which consists of a 4-DOF underactuated manipulator, a crawler vehicle, and a passive hand in the first step. Then, we discuss the use of LQ control for high speed manipulation. We design a control system based on the characteristics of agricultural operations and the manipulator. The robust stability is analyzed under the structured uncertainty. The robotic harvesting experiment was done in a watermelon field and the effectiveness of LQ control was confirmed.
Satoru Sakai, Koichi Osuka, Hiroaki Fukushima, Michihisa Iida
IROS4