EDBT 2026 Demo / reviewers in the wild / expert
Kageharu Nosaki
dblp:139/7285
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 1992
—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
2 papers |
Motion planning and robot control · 63% Multi-agent systems · 25% Robot manipulation · 12% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › multi-robot control
coordinated motion control |
0.0 | 2 | 1992 | Coordinated motion control of robot arms based on the virtual internal model · IEEE Trans. Robotics Autom. 1992 Coordinated motion control of robot arm based on virtual internal model · ICRA 1989 |
Robotics › Motion planning and robot control
robot control |
0.0 | 1 | 1992 | Coordinated motion control of robot arms based on the virtual internal model · IEEE Trans. Robotics Autom. 1992 |
Knowledge, reasoning and agents › Multi-agent systems › multi-robot coordination
cooperative object manipulation |
0.0 | 1 | 1989 | Coordinated motion control of robot arm based on virtual internal model · ICRA 1989 |
Robotics › Motion planning and robot control › robot control
motion control |
0.0 | 1 | 1989 | Coordinated motion control of robot arm based on virtual internal model · ICRA 1989 |
Knowledge, reasoning and agents › Multi-agent systems
multi-robot coordination |
0.0 | 1 | 1989 | Coordinated motion control of robot arm based on virtual internal model · ICRA 1989 |
Robotics › Robot manipulation › cooperative manipulation
internal force control |
0.0 | 1 | 1992 | Coordinated motion control of robot arms based on the virtual internal model · IEEE Trans. Robotics Autom. 1992 |
Robotics › Robot manipulation › cooperative manipulation
multi-arm manipulation |
0.0 | 1 | 1992 | Coordinated motion control of robot arms based on the virtual internal model · IEEE Trans. Robotics Autom. 1992 |
Methods — techniques the papers use, named apart from their topics
virtual internal model · 0.0sensory feedback control · 0.0internal force control · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1992 | Coordinated motion control of robot arms based on the virtual internal modelabstractAn alternative coordinated motion control architecture for robot arms manipulating an object is proposed. The motion and the internal force of the object are resolved in the motion of each arm. Each arm's control is based on the virtual internal model so as to operate in coordination even if geometric errors exist in the robot arms and the object. The virtual internal model is a reference model driven by sensory information implemented in the controller. The proposed architecture keeps the state of the system bounded even if breakage of the manipulated object occurs. The control algorithm is experimentally applied to the coordinated motion control of two planar robot arms, each of which has three degrees of freedom. The results illustrate the validity of the proposed control architecture.> Masanobu Koga, Kazuhiro Kosuge, Katsuhisa Furuta, Kageharu Nosaki |
IEEE Trans. Robotics Autom. | 4 |
| 1989 | Coordinated motion control of robot arm based on virtual internal modelabstractThe authors propose an alternative coordinated motion control architecture for robot arms manipulating an object. The motion and the internal force of the object are resolved into the motion of each arm. Each arm is controlled, on the basis of the virtual internal model, so that they operate in coordination even if geometric errors exist in the arms and the object. The virtual internal model is a reference model driven by sensory information implemented in the controller. The proposed architecture maintains the stability of the system even if breakage of the manipulated object occurs. The control algorithm was experimentally applied to the coordinated motion control of two planar robot arms, each of which has three degrees of freedom. The results illustrate the validity of the proposed control architecture.> Kazuhiro Kosuge, Masanobu Koga, Katsuhisa Furuta, Kageharu Nosaki |
ICRA | 4 |