Demo Data from EDBT 2026 / reviewers in the wild / expert
Tim K. T. Woo
dblp:52/1810
· DBLP profile ↗
3ranked-venue papers
2as first author
0since 2021 · last 1998
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 2 first-authorSystems, architecture and hardware · 3 · 2 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
2 papers |
Motion planning and robot control · 72% Planning, search and constraint satisfaction · 28% | |
| Theoretical computer science
1 paper |
Mathematical optimization · 100% |
Topics — the 5 heaviest of 5, 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 |
0.0 | 2 | 1998 | A Fuzzy System Compensator for Backlash · ICRA 1998 Deadzone compensation in motion control systems using adaptive fuzzy logic control · ICRA 1997 |
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › intelligent control
fuzzy control |
0.0 | 2 | 1998 | A Fuzzy System Compensator for Backlash · ICRA 1998 Deadzone compensation in motion control systems using adaptive fuzzy logic control · ICRA 1997 |
Robotics › Motion planning and robot control
robot control |
0.0 | 2 | 1998 | A Fuzzy System Compensator for Backlash · ICRA 1998 Deadzone compensation in motion control systems using adaptive fuzzy logic control · ICRA 1997 |
Robotics › Motion planning and robot control › robot control
backlash compensation |
0.0 | 1 | 1998 | A Fuzzy System Compensator for Backlash · ICRA 1998 |
Mathematical optimization
least squares |
0.0 | 1 | 1997 | Performance analysis of localization algorithms · ICRA 1997 |
Methods — techniques the papers use, named apart from their topics
fuzzy logic · 0.0adaptation algorithm · 0.0simulation · 0.0least squares · 0.0adaptive tuning · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | A Fuzzy System Compensator for BacklashabstractWe design a fuzzy system to compensate the delays due to backlash nonlinearity. The fuzzy compensator is constructed from some common-sense rules. We consider the general case of the unknown backlash parameter and develop an adaptation algorithm to estimate the backlash parameter online. We prove that under certain conditions the fuzzy compensator with the adaptation algorithm guarantees that the backlash output converges to the desired trajectory. Simulation and hardware implementation results show that the fuzzy compensator is robust to the estimation errors in the backlash parameters. Application to an industrial CNC machine tool is described. Tim K. T. Woo, Li-Xin Wang, Frank L. Lewis, Zexiang Li 0001 |
ICRA | 1 |
| 1997 | Performance analysis of localization algorithmsabstractWorkpiece localization, with novel applications such as workpiece setup, refixturing and dimensional inspections, is a problem of permanent importance in manufacturing. Using the popular least square formulation, several geometric algorithms have been developed for workpiece localization over the last few years. In this paper, we analyze and compare the performance of three localization algorithms based on the following criteria: (a) robustness with respect to variations in initial conditions; (b) accuracy of computed results; and (c) computational efficiency. We develop an approach for improving the robustness of the algorithms for workpieces with sculptured surfaces for which the region of convergence is typically small. Based on simulation results, we also discuss sensitivity of the algorithms with respect to the number of measurement points and give a lower bound on this number for recovering a Euclidean transformation with certain accuracy. Yunxian Chu, Jianbo Gou, B. Kang, Tim K. T. Woo, Zexiang Li 0001 |
ICRA | 4 |
| 1997 | Deadzone compensation in motion control systems using adaptive fuzzy logic controlabstractA deadzone compensator is designed for industrial positioning systems using a fuzzy logic (FL) controller. The classification property of FL systems makes them a natural candidate for the rejection of errors induced by the deadzone, which has regions in which it behaves differently. A tuning algorithm is given for the FL parameters, so that the deadzone compensation scheme becomes adaptive, guaranteeing small tracking errors and bounded parameter estimates. The adaptive FL deadzone compensator is implemented on an actual industrial CNC machine tool to show its efficacy. Tim K. T. Woo, Frank L. Lewis, Li-Xin Wang, Zexiang Li 0001 |
ICRA | 1 |