EDBT 2026 Demo / reviewers in the wild / expert
Timothy J. Graettinger
dblp:52/11123
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1988
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 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 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 control |
0.0 | 1 | 1988 | The acceleration radius: a global performance measure for robotic manipulators · IEEE J. Robotics Autom. 1988 |
Mathematical optimization
continuous optimization |
0.0 | 1 | 1988 | The acceleration radius: a global performance measure for robotic manipulators · IEEE J. Robotics Autom. 1988 |
Mathematical optimization › constrained optimization
semi-infinite programming |
0.0 | 1 | 1988 | The acceleration radius: a global performance measure for robotic manipulators · IEEE J. Robotics Autom. 1988 |
Methods — techniques the papers use, named apart from their topics
semi-infinite programming · 0.0numerical optimization · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1988 | The acceleration radius: a global performance measure for robotic manipulatorsabstractThe acceleration radius is defined as a global index for quantifying the dynamic capabilities of manipulator-positioning systems over a continuous operation region. It is generalization of previously proposed manipulability indices that are local measures of the acceleration capability. The problem of computing the acceleration radius is formulated as an optimization problem. A numerical algorithm for solving the resulting generalized semi-infinite program is presented, and the application of the acceleration radius concept to examples of manipulator design and workspace specification is illustrated. Several directions for future research are discussed.> Timothy J. Graettinger, Bruce H. Krogh |
IEEE J. Robotics Autom. | 1 |