Demo Data from EDBT 2026 / reviewers in the wild / expert
Juan D. Gamba
dblp:303/8320
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021
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 · 50% |
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
balance control |
0.5 | 1 | 2021 | Balancing on a Springy Leg · ICRA 2021 |
Robotics › Legged, aerial and field robots › legged robots
legged robot locomotion |
0.5 | 1 | 2021 | Balancing on a Springy Leg · ICRA 2021 |
Methods — techniques the papers use, named apart from their topics
simulation study · 0.5balance controller · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Balancing on a Springy LegabstractThis paper presents a simulation study of the problem of balancing a planar double pendulum in which the lower body (the leg) has been modified to include a spring-loaded passive prismatic joint. Robots of this kind can travel by hopping, and can also stand and balance on a single point. The purpose of this study is to investigate the degree to which a balance controller can cope with the large and rapidly changing forces from the spring. It is shown that good performance can be achieved using an existing balance controller if the spring-loaded joint is instrumented so that its position and velocity can be taken into account when calculating the state variables needed by the balance controller. Juan D. Gamba, Roy Featherstone |
ICRA | 1 |