EDBT 2026 Demo / reviewers in the wild / expert
Matthias Haag
dblp:07/1666
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021
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 · 62% Robot manipulation · 38% |
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 |
0.9 | 1 | 2025 | Highly Dynamic Physical Interaction for Robotics: Design and Control of an Active Remote Center of Compliance · ICRA 2025 |
Robotics › Robot manipulation
grasping |
0.9 | 1 | 2025 | Highly Dynamic Physical Interaction for Robotics: Design and Control of an Active Remote Center of Compliance · ICRA 2025 |
Robotics › Motion planning and robot control › robot control › compliant motion control
hybrid position/force control |
0.3 | 1 | 2025 | Highly Dynamic Physical Interaction for Robotics: Design and Control of an Active Remote Center of Compliance · ICRA 2025 |
Robotics › Motion planning and robot control
robot control |
0.3 | 1 | 2025 | Highly Dynamic Physical Interaction for Robotics: Design and Control of an Active Remote Center of Compliance · ICRA 2025 |
Methods — techniques the papers use, named apart from their topics
surrogate modeling · 0.9dynamic simulation · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Highly Dynamic Physical Interaction for Robotics: Design and Control of an Active Remote Center of ComplianceabstractRobot interaction control is often limited to low dynamics or low flexibility, depending on whether an active or passive approach is chosen. In this work, we introduce a hybrid control scheme that combines the advantages of active and passive interaction control. To accomplish this, we propose the design of a novel Active Remote Center of Compliance (ARCC), which is based on a passive and active element which can be used to directly control the interaction forces. We introduce surrogate models for a dynamic comparison against purely robot-based interaction schemes. In a comparative validation, ARCC drastically improves the interaction dynamics, leading to an increase in the motion bandwidth of up to 31 times. We introduce further our control approach as well as the integration in the robot controller. Finally, we analyze ARCC on different industrial benchmarks like peg-in-hole, top-hat rail assembly and contour following problems and compare it against the state of the art, to highlight the dynamic and flexibility. The proposed system is especially suited if the application requires a low cycle time combined with a sensitive manipulation. Christian Friedrich, Patrick Frank, Marco Santin, Matthias Haag |
ICRA | 4 |