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Ken Kimura

dblp:226/6154 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Applied, 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
Multi-agent systems · 67% Motion planning and robot control · 33%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems
formation control
0.312018
Control of Multiple Passive-Follower Type Robots Based on Feasible Braking Control Region Analysis · ICRA 2018
Knowledge, reasoning and agents › Multi-agent systems
multi-robot coordination
0.312018
Control of Multiple Passive-Follower Type Robots Based on Feasible Braking Control Region Analysis · ICRA 2018
Robotics › Motion planning and robot control › underactuated robotics
passive mobile robot
0.312018
Control of Multiple Passive-Follower Type Robots Based on Feasible Braking Control Region Analysis · ICRA 2018
Embedded and real-time systems › cyber-physical systems
cyber-physical system control
0.312018
Control of Multiple Passive-Follower Type Robots Based on Feasible Braking Control Region Analysis · ICRA 2018

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

leader-follower architecture · 0.7brake control law · 0.7
YearPublicationVenuePosition
2018 Control of Multiple Passive-Follower Type Robots Based on Feasible Braking Control Region Analysis
abstract
Ahstract- In this study, we propose a development and formation control of a passive mobile robot equipped only with servo brakes and no motors. The developed passive mobile robot can move forward by utilizing an external pulling force, and steers itself by controlling the servo brakes attached to each wheel. Systems composed of multiple mobile robots are very effective at exploring vast areas. However the coordination and simultaneous control of several robots utilizing simple information is a difficult task. Therefore we propose a leader follower architecture composed of multiple passive follower robots tethered to one active leader. In this paper, we first introduce the developed passive mobile robot. Then, we analyze the fundamental control method of this passive mobile robot from the perspective of the feasible braking control region, which considers the slip of the passive robot and the limitation of the external pulling force from the active leader. Lastly, a control law for the servo brakes attached to each wheel is proposed, followed by a feasibility study to determine whether the passive followers can stay in formation by controlling the servo brakes with the proposed control law.
Yasuhisa Hirata, Ken Kimura, Shin Matsuzaki, Naoko Ogawa, Takashi Kubota
ICRA2
2018 An Image Analysis Method for Lettuce Leaf and Root Growth Analysis in Hydroponic Culture
abstract
We are going to develop an ultra-small nutrients analyzer, a compact 3D-monitor (shape, color, etc.), and an ultra-light environment sensor (light intensity, temperature, humidity, CO2, etc.), which can be installed near plants. Accordingly, plant growth estimation technologies based on micro-fluidic circuit model simulating plant vascular system are being developed. The model will be frequently corrected by using updated data given by those sensors. Furthermore, by making use of the estimation technologies, we try to find out suitable cultivation condition for producing plants having aimed characters. In this paper, in order to develop plant growth estimation technologies, we propose a method to analyze the growth of lettuce leaves and roots by image analysis based on visible and thermography thermal imagers captured by cameras in real time and non-destructive leaf and root growth in lettuce hydroponic culture.
Takumi Okamoto, Yasunori Sakane, Tetsushi Koide, Atsushi Ogawa, Masashi Komine, Chiharu Sone, Yoshihiro Kaneta, Yukio Yaji, Kyoko Toyofuku, Takahiro Kamata, Ken Kimura, Yoko Ishikawa, Toshihiro Kasama, Wojciech P. Bula, Yoshishige Endo, Ryo Miyake
TENCON11