Demo Data from SIGIR 2026 / reviewers in the wild / expert
Andrew Homyk
dblp:371/4775
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2003
—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 · 77% Robot manipulation · 23% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation › contact modeling
frictional contact |
0.0 | 1 | 2003 | Experiments in nonsmooth control of distributed manipulation · ICRA 2003 |
Methods — techniques the papers use, named apart from their topics
nonsmooth feedback laws · 0.0friction modeling · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | Experiments in nonsmooth control of distributed manipulationabstractThis paper describes an experimental modular distributed manipulation system upon which one can implement a variety of control schemes. We have shown elsewhere that when one includes the nonsmooth effects of friction into a model of distributed manipulation, nonsmooth feedback laws must generally be used to control distributed manipulators. We summarize results obtained with this experimental system that confirm the validity of control schemes proposed by the authors in recent papers. We describe the control algorithms in some detail and include specifics of the experimental set-up and experimental results. Todd D. Murphey, Joel W. Burdick, James Burgess, Andrew Homyk |
ICRA | 4 |