Demo Data from EDBT 2026 / reviewers in the wild / expert
David A. Gutz
dblp:181/3179
· DBLP profile ↗
1ranked-venue papers
0as 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 · 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 · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › robot control
force control |
0.0 | 1 | 1989 | Impact and force control · ICRA 1989 |
Robotics › Motion planning and robot control › robot control › force control
impact control |
0.0 | 1 | 1989 | Impact and force control · ICRA 1989 |
Robotics › Motion planning and robot control
robot control |
0.0 | 1 | 1989 | Impact and force control · ICRA 1989 |
Robotics › Motion planning and robot control › robot control › force control
force feedback control |
0.0 | 1 | 1989 | Impact and force control · ICRA 1989 |
Methods — techniques the papers use, named apart from their topics
integral force compensation · 0.0energy method · 0.0dimensionless analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1989 | Impact and force controlabstractRobot manipulators and drive systems can experience instability or poor control performance after impacting with an environment. The authors present an analytical model for impact which is experimentally validated step-by-step. Extensive simulations and experiments are conducted to explain impact phenomena for the case of a force feedback control of a single-axis drive system. The experimental tests were conducted on a manipulator drive system which consists of a motor, a transmission, a link, a force sensor, and a movable environment. The results are based on an energy method and presented concisely in dimensionless form. To this end, a small number of dimensionless groups are used to characterize the impact behavior through simulations and tests. It is shown that integral force compensation with velocity feedback improves force tracking and reject impacts. It is also revealed that impact response can be tuned by selecting a favourable dimensionless ratio of force to approach velocity.> Kamal Youcef-Toumi, David A. Gutz |
ICRA | 2 |