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

Kun-Pei Chen

dblp:181/3221 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 1989
—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%
Theoretical computer science
1 paper
Mathematical optimization · 100%

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 › adaptive control
adaptive motion control
0.011989
Nonlinear adaptive motion control for a manipulator with flexible joints · ICRA 1989
Robotics › Motion planning and robot control
robot control
0.011989
Nonlinear adaptive motion control for a manipulator with flexible joints · ICRA 1989
Robotics › Motion planning and robot control › robot control
trajectory tracking
0.011989
Nonlinear adaptive motion control for a manipulator with flexible joints · ICRA 1989
Mathematical optimization › control theory
adaptive control
0.011989
Nonlinear adaptive motion control for a manipulator with flexible joints · ICRA 1989

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

parameter adaptation loop · 0.0feedback loop · 0.0
YearPublicationVenuePosition
1989 Nonlinear adaptive motion control for a manipulator with flexible joints
abstract
The authors present an adaptive control scheme for trajectory tracking of robot motion. A dynamic model of a manipulator with flexible joints that is particularly useful for derivation of the control law is adopted. Based on this model, a two-stage controller consisting of a feedback loop and a parameter adaption loop is established. It is shown that without precise knowledge of the parameters of the manipulator and its joint flexibilities the tracking error converges to zero asymptotically. This implies robustness of the control scheme to the variation of payload or parameters as long as their rate of change is moderate. The convergence can be sped up by increasing the suitable controller gains.>
Kun-Pei Chen, Li-Chen Fu
ICRA1