Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Ferdinand Elhardt

dblp:353/5899 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2023
0009-0007-5896-6704ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 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
Motion planning and robot control · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
gravity compensation
0.712023
A Gravity Compensation Strategy for On-ground Validation of Orbital Manipulators · ICRA 2023
Robotics › Motion planning and robot control
robot control
0.712023
A Gravity Compensation Strategy for On-ground Validation of Orbital Manipulators · ICRA 2023
Robotics › Motion planning and robot control › robot control
space robot control
0.212023
A Gravity Compensation Strategy for On-ground Validation of Orbital Manipulators · ICRA 2023

Methods — techniques the papers use, named apart from their topics

optimization · 0.7
YearPublicationVenuePosition
2023 A Gravity Compensation Strategy for On-ground Validation of Orbital Manipulators
abstract
The on-ground validation of orbital manipulators is a challenging task because the robot is designed for a gravity-free operational environment, but it is validated under the effect of gravity. As a consequence, joint torque limits can be easily reached in certain configurations when gravity is actively compensated by the joints. Hence, the workspace for on-ground testing is restricted. In this paper, an optimal strategy is proposed for achieving gravity compensation of an orbital manipulator arm on ground. The strategy minimizes the joint torques acting on the manipulator by solving an optimization problem and it computes the necessary forces to be tracked by an external carrier. Hence, full gravity compensation is achieved for the orbital manipulator. Experimental results validate the effectiveness of the method on the DLR CAESAR space robot, which uses a cable suspended system as external carrier to track the desired gravity compensation force, resulting from the proposed method.
Marco De Stefano, Ria Vijayan, Andreas Stemmer, Ferdinand Elhardt, Christian Ott 0001
ICRA4