EDBT 2026 Demo / reviewers in the wild / expert
Takeuchi Hiroki
dblp:37/6224
· DBLP profile ↗
1ranked-venue papers
1as 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 · 1 · 1 first-authorSystems, architecture and hardware · 1 · 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 |
Motion planning and robot control · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › locomotion control
legged robot control |
0.0 | 1 | 2003 | Slack variable method for state variable constraint · ICRA 2003 |
Robotics › Motion planning and robot control › locomotion control › legged robot control
swing leg control |
0.0 | 1 | 2003 | Slack variable method for state variable constraint · ICRA 2003 |
Methods — techniques the papers use, named apart from their topics
slack variable method · 0.0receding horizon control · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | Slack variable method for state variable constraintabstractThe slack variable method is introduced into receding horizon control with inequality constraint, and formulation about swing leg was described. Generally, the conditions that swing leg does not fall under the floor altitude can be described as inequality state variable constraint. It is difficult to treat this as a states variable constraint, because there is no control input variable explicitly. In this paper, it proposes dealing this with a problem using slack variable. This simple formulation can be applied to varied legged robot with any number of legs. Takeuchi Hiroki |
ICRA | 1 |