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
Demo Data from EDBT 2026 / reviewers in the wild / expert

A. D. NDoudi-Likoho

dblp:45/6769 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 1994
—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 · 91% Legged, aerial and field robots · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control › nonlinear control
nonlinear feedback control		 0.011994
Feedback Control for a Train-Like Vehicle · ICRA 1994
Robotics › Motion planning and robot control
path following		 0.011994
Feedback Control for a Train-Like Vehicle · ICRA 1994
Robotics › Motion planning and robot control
robot control		 0.011994
Feedback Control for a Train-Like Vehicle · ICRA 1994
Robotics › Legged, aerial and field robots
field robotics		 0.011994
Feedback Control for a Train-Like Vehicle · ICRA 1994

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

nonlinear feedback control · 0.0
YearPublicationVenuePosition
1994 Feedback Control for a Train-Like Vehicle
abstract
This paper presents a feedback nonlinear control law for a train-like vehicle (TLV) used in nuclear power-station maintenance. The front cart is either manual or automated guided. The rear carts are feedback controlled. The control objective is to ensure that the rear carts track the path produced (online) by the front cart. This controller was experimentally tested on the TLV-prototype.>
Carlos Canudas-de-Wit, A. D. NDoudi-Likoho, Alain Micaelli
 ICRA2