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

Baohua Qi

dblp:21/4276 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 2001
—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 · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control architecture › behavior-based robotics
behavior-based robot control
0.012001
A Systematic Approach to Parameter Design for a Coupled Oscillator Controller · ICRA 2001
Robotics › Motion planning and robot control › robot control
learning control
0.012001
A Systematic Approach to Parameter Design for a Coupled Oscillator Controller · ICRA 2001

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

simulation · 0.0coupled oscillator control · 0.0behavior-based control · 0.0
YearPublicationVenuePosition
2001 A Systematic Approach to Parameter Design for a Coupled Oscillator Controller
abstract
This paper presents a systematic approach to designing a coupled oscillator controller, a control mechanism used successfully in nature. With this approach, a less conservative behavior-based robot controller with guaranteed performance can be automatically developed. This makes it possible to design a controller with good performance automatically, without the tuning of parameters. More importantly, it provides for a flexible and safe way of learning. Experimental and simulation results illustrate the validity of the method.
Baohua Qi, Gary T. Anderson
ICRA1