Demo Data from EDBT 2026 / reviewers in the wild / expert
Chang B. Joo
dblp:135/8115
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2013
—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 |
Legged, aerial and field robots · 77% Motion planning and robot control · 23% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control
constrained nonlinear optimization |
0.0 | 1 | 2013 | Balancing of legged mechanism with multiple segments · ICRA 2013 |
Methods — techniques the papers use, named apart from their topics
velocity extrema analysis · 0.2numerical optimization · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Balancing of legged mechanism with multiple segmentsabstractThe purpose of this paper is to investigate what kinds of effects the multi-segmental body with actively controlled body part have on balancing. As part of the research, a biped mechanism is simplified to multi-segmental legged model in sagittal plane where the model is comprised of a stance leg, foot and actively controlled body part. Not only the system parameters are in place but also necessary and sufficient conditions for balancing have been implemented as constraints. The algorithm that we proposed iteratively solves nonlinear constrained optimization problems. The balanced state domain is constructed by connecting velocity extrema. The proposed algorithm is used to identify the balanced state domain in a deterministic scheme using numerical optimization. Chang B. Joo, Joo H. Kim |
ICRA | 1 |