VLDB 2026 Research / reviewers in the wild / expert
Louise Penna Poubel
dblp:151/9554
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2014
—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 · 44% Robot manipulation · 44% Legged, aerial and field robots · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control
humanoid robot control |
0.2 | 1 | 2014 | Support changes during online human motion imitation by a humanoid robot using task specification · ICRA 2014 |
Robotics › Robot manipulation › learning from demonstration
motion imitation |
0.2 | 1 | 2014 | Support changes during online human motion imitation by a humanoid robot using task specification · ICRA 2014 |
Robotics › Legged, aerial and field robots › legged robots
humanoid locomotion |
0.1 | 1 | 2014 | Support changes during online human motion imitation by a humanoid robot using task specification · ICRA 2014 |
Methods — techniques the papers use, named apart from their topics
task specification · 0.2inverse kinematics · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Support changes during online human motion imitation by a humanoid robot using task specificationabstractThis paper presents a method based on inverse kinematics with task specification for online human to humanoid motion imitation. We particularly focus on the problem of lifting and placing feet on the floor during the motion, allowing change of support during stepping or locomotion. The approach avoids the use of motion primitives that limit the robot motions to what had been learned. A direct transposition of movements is generated, allowing the robot to move freely in space as the human model does, at a velocity close to the reference one. The approach is validated on the humanoid robot NAO and shows very promising results for the use of online motion imitation. Louise Penna Poubel, Sophie Sakka, Denis Cehajic, Denis Creusot |
ICRA | 1 |