Demo Data from EDBT 2026 / reviewers in the wild / expert
Herve Audrerr
dblp:226/6280
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1
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 · 88% Legged, aerial and field robots · 12% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › robot control
external force estimation |
0.3 | 1 | 2018 | Model-Based External Force/Moment Estimation for Humanoid Robots with no Torque Measurement · ICRA 2018 |
Robotics › Motion planning and robot control
robot control |
0.3 | 1 | 2018 | Model-Based External Force/Moment Estimation for Humanoid Robots with no Torque Measurement · ICRA 2018 |
Robotics › Legged, aerial and field robots
humanoid robot |
0.1 | 1 | 2018 | Model-Based External Force/Moment Estimation for Humanoid Robots with no Torque Measurement · ICRA 2018 |
Robotics › Motion planning and robot control › robot dynamics › contact dynamics
multicontact motion |
0.1 | 1 | 2018 | Model-Based External Force/Moment Estimation for Humanoid Robots with no Torque Measurement · ICRA 2018 |
Methods — techniques the papers use, named apart from their topics
sensor fusion · 0.3dynamics modeling · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Model-Based External Force/Moment Estimation for Humanoid Robots with no Torque MeasurementabstractThe dynamics of a humanoid robot cannot be correctly described independently from the external forces acting on it. These forces have to be reconstructed to enable the robot to control them or to compensate for them. Force sensors are usually used to measure these forces, but because of their cost, they are often put only on the ankle/feet and possibly the wrists. This paper addresses the issue of the estimation of external forces and moments that apply at any part of a robot without direct force measurements and without torque measurements. The sensors used are the regular force sensors and the IMUs of the robot. The method relies on a model-based estimator able to make the fusion between these sensors and the whole body dynamics. The estimator reconstructs a single state vector containing the floating-base kinematics, a filtered measurement of contact force and an additional estimation external force that we evaluate in this paper. Validation is performed on HRP-2 in a multi-contact motion. Mehdi Benallegue, Pierre Gergondet, Herve Audrerr, Alexis Mifsud, Mitsuharu Morisawa, Florent Lamiraux, Abderrahmane Kheddar, Fumio Kanehiro |
ICRA | 3 |