Demo Data from EDBT 2026 / reviewers in the wild / expert
Michael T. Grabbe
dblp:199/5559
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1992
—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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › robot control › constraint-based control
constrained motion control |
0.0 | 1 | 1992 | Robust control of robot manipulators during constrained and unconstrained motion · ICRA 1992 |
Robotics › Motion planning and robot control
robot control |
0.0 | 1 | 1992 | Robust control of robot manipulators during constrained and unconstrained motion · ICRA 1992 |
Methods — techniques the papers use, named apart from their topics
task space modeling · 0.0robust control · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1992 | Robust control of robot manipulators during constrained and unconstrained motionabstractTwo robust controllers are developed for the position and force control of a single n-joint nonredundant manipulator. The control strategies are shown to apply when the manipulator is unconstrained and when it is constrained by a rigid environment. Starting with the model of the robot dynamics and constraints in joint space, a dynamic equation is developed with respect to a set of task space coordinate variables. Using this task space model, the two control strategies are developed for the manipulator, and are shown to be robust with respect to uncertainty in the system. The robust control strategies have the following characteristics: (1) exponential convergence for motion tracking, (2) the controller is continuous for all times of interest, and (3) the controller is the same for constrained and unconstrained motion.> Michael T. Grabbe, James J. Carroll, Darren M. Dawson, Zhihua Qu |
ICRA | 1 |