Demo Data from SIGIR 2026 / reviewers in the wild / expert
Kun-Pei Chen
dblp:181/3221
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › robot control › adaptive control
adaptive motion control |
0.0 | 1 | 1989 | Nonlinear adaptive motion control for a manipulator with flexible joints · ICRA 1989 |
Robotics › Motion planning and robot control
robot control |
0.0 | 1 | 1989 | Nonlinear adaptive motion control for a manipulator with flexible joints · ICRA 1989 |
Robotics › Motion planning and robot control › robot control
trajectory tracking |
0.0 | 1 | 1989 | Nonlinear adaptive motion control for a manipulator with flexible joints · ICRA 1989 |
Mathematical optimization › control theory
adaptive control |
0.0 | 1 | 1989 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1989 | Nonlinear adaptive motion control for a manipulator with flexible jointsabstractThe 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 |
ICRA | 1 |