Louise Penna Poubel

dblp:151/9554 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
humanoid robot control
0.212014
Support changes during online human motion imitation by a humanoid robot using task specification · ICRA 2014
Robotics › Robot manipulation › learning from demonstration
motion imitation
0.212014
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
0.112014
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
YearPublicationVenuePosition
2014 Support changes during online human motion imitation by a humanoid robot using task specification
abstract
This 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
ICRA1