Demo Data from SIGIR 2026 / reviewers in the wild / expert
R. W. Toogood
dblp:181/3186
· 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% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › robot dynamics
direct dynamics |
0.0 | 1 | 1989 | Efficient robot inverse and direct dynamics algorithms using microcomputer based symbolic generation · ICRA 1989 |
Robotics › Motion planning and robot control › robot dynamics
inverse dynamics |
0.0 | 1 | 1989 | Efficient robot inverse and direct dynamics algorithms using microcomputer based symbolic generation · ICRA 1989 |
Robotics › Motion planning and robot control
robot dynamics |
0.0 | 1 | 1989 | Efficient robot inverse and direct dynamics algorithms using microcomputer based symbolic generation · ICRA 1989 |
Methods — techniques the papers use, named apart from their topics
symbolic generation · 0.0recursive lagrangian formulation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1989 | Efficient robot inverse and direct dynamics algorithms using microcomputer based symbolic generationabstractA method is described for automatically generating FORTRAN code for the inverse and direct dynamics solution of robot manipulators. The method is based on an efficient symbolic generation system for the recursive Lagrangian inverse dynamics formulation. Two variations of the original symbolic generation are used to produce routines for use in the direct dynamics solution. The symbolic generation requires minimal input from the user, takes only a few seconds on a microcomputer, and produces very efficient FORTRAN code having among the lowest computational requirements yet reported in the literature.> R. W. Toogood |
ICRA | 1 |