Demo Data from EDBT 2026 / reviewers in the wild / expert
Neldon Wagner
dblp:184/7969
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1988
—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 · 50% Motion planning and robot control · 25% Knowledge representation and reasoning · 25% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots › legged robots › legged robot locomotion
bipedal locomotion |
0.0 | 1 | 1988 | A knowledge based control strategy for a biped · ICRA 1988 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › knowledge-based systems
knowledge-based control |
0.0 | 1 | 1988 | A knowledge based control strategy for a biped · ICRA 1988 |
Robotics › Legged, aerial and field robots
legged robots |
0.0 | 1 | 1988 | A knowledge based control strategy for a biped · ICRA 1988 |
Robotics › Motion planning and robot control
robot control |
0.0 | 1 | 1988 | A knowledge based control strategy for a biped · ICRA 1988 |
Methods — techniques the papers use, named apart from their topics
simulation-based optimization · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1988 | A knowledge based control strategy for a bipedabstractThe characteristics of a knowledge-based control strategy that support dynamic stability in a walking machine are discussed. A generalized set of solutions is optimized through simulation, and tabulated in an organized way for real-time use. Once properly evoked, the generalized solutions are modified on the basis of, sensory input. The result is a faster, less complex and adaptive control process. This work is part of a larger research effort centered on autonomous motion of bipeds.> Neldon Wagner, Michael C. Mulder, M. S. Hsu |
ICRA | 1 |