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Eiichi Inohira

dblp:91/2728 · DBLP profile ↗
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7ranked-venue papers
3as first author
0since 2021 · last 2008
—ORCID · none

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

Artificial intelligence and machine learning · 7 · 3 first-authorSystems, architecture and hardware · 5 · 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
1 paper
Multi-agent systems · 100%
Software engineering, system software, and programming languages
1 paper
Software maintenance and evolution · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems
agent architecture
0.012003
Layered multi agent architecture with dynamic reconfigurability · ICRA 2003
Software maintenance and evolution › software evolution › software adaptation
dynamic reconfiguration
0.012003
Layered multi agent architecture with dynamic reconfigurability · ICRA 2003

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

multi-agent model · 0.1
YearPublicationVenuePosition
2008 A Neural Network Based Hierarchical Motor Schema of a Multi-finger Hand and Its Motion Diversity
Eiichi Inohira, Shiori Uota, Hirokazu Yokoi
ICONIP (1)1
2007 Perturbational Neural Networks for Incremental Learning in Virtual Learning System
Eiichi Inohira, Hiromasa Oonishi, Hirokazu Yokoi
ICONIP (1)1
2003 An Order n Dynamic Simulator for a Humanoid Robot with a Virtual Spring-Damper Contact Model
abstract
This paper describes an efficient dynamic simulation of a humanoid robot. In the simulation, an order n formulation is used to solve the inverse dynamics and forward dynamics of a multi-body system. The formulation can deal with a tree structure and multiple contacts with the environment. In order to simulate a collision with friction between the foot and a floor, a virtual spring-damper contact model is proposed. By introducing this model, computation of contact becomes easier and faster compared with other method such as plastic contact. A simulation of ascending steep stairs is carried out in order to demonstrate the validity of the simulation. The results of the simulation are presented and discussed.
Yoonkwon Hwang, Eiichi Inohira, Atsushi Konno, Masaru Uchiyama
ICRA2
2003 Layered multi agent architecture with dynamic reconfigurability
abstract
This paper presents the software system architecture with the dynamic reconfigurability for highly autonomous systems. The proposed architecture is based on multi-agent model, which is suitable for autonomous, open and distributed systems. Since an agent is too sophisticated as the minimal component that we handle, we define a unit as a simple component of an agent. We present the advanced capability to dynamically reconfigure autonomous systems because their goals and environments vary frequently. We determine the specification of units and agents in order to analyze the behavior of overall system and to implement the dynamic reconfiguration as easy and simple as possible. In this paper, we also discuss the method to guarantee the system behavior during the dynamic reconfiguration in order to operate the robotic system without a hitch at any time, especially while reconfiguring.
Eiichi Inohira, Atsushi Konno, Masaru Uchiyama
ICRA1
2003 An adaptive gait for quadruped robots to walk on a slope
abstract
This paper proposes an adaptive intermittent crawl gait for quadruped robots to walk on a slope. In the proposed method, the inclination of a floor is estimated in real time by the displacement of the projection of the center of gravity from the nominal position. Depending upon the estimated inclination, the gait is changed in order to gain the longitudinal stability margin. Experiments and dynamic simulations are performed to validate the proposed method. The results are presented and discussed.
Atsushi Konno, Katsuhisa Ogasawara, Yoonkwon Hwang, Eiichi Inohira, Masaru Uchiyama
IROS4
2001 Analytical and experimental evaluation of impact dynamics on a high-speed zero G motion simulator
abstract
In a new stage of space development, collision and contact tasks under micro-gravity, such as docking, orbital servicing, and touchdown to a minor body, are now increasingly being considered. A hybrid motion simulation consisting of both physical and numerical models is an effective method to test the motions of a spacecraft under zero G on the ground. The authors have developed a hybrid zero G motion simulator based on a highspeed parallel link mechanism. A wide response bandwidth and high stiffness of the simulator have made it possible to simulate the contact motions with high precision. In this paper, they evaluate analytically the simulator characteristics and verify experimentally the impact of dynamics on the hybrid motion simulation by comparing it with a collision experiment under zero G in a drop-shaft facility. The results imply that the simulator is highly reliable for the impact dynamics simulation under zero G.
Hiroshi Kawabe, Eiichi Inohira, Takashi Kubota, Masaru Uchiyama
IROS2
2000 Motion simulation using a high-speed parallel link mechanism
abstract
A new kind of motion simulation is proposed for the purpose of simulating complicated motions such as those caused by interactions between objects in special environments (e.g., those of micro-gravity). The motion simulation is based on a hybrid simulation: consisting of a combined analog-digital system. Hence it has functions of real-time numerical simulation and embedding a physical model in the simulation. In addition, the motion simulation is equipped with flexibility of modeling, effective human interface and scalability of system. Finally, as a preliminary experiment, motion caused by interactions between a chaser (space robot) and a target (nano satellite) has been simulated with a prototype of the hybrid motion simulator.
Susumu Tarao, Eiichi Inohira, Masaru Uchiyama
IROS2