Demo Data from EDBT 2026 / reviewers in the wild / expert
Gesche Held
dblp:353/5717
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
—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 |
Robot manipulation · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Immersive interaction · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation › assembly
force-guided assembly |
0.7 | 1 | 2023 | Skill-based Robot Programming in Mixed Reality with Ad-hoc Validation Using a Force-enabled Digital Twin · ICRA 2023 |
Immersive interaction › mixed reality
mixed reality robot programming |
0.7 | 1 | 2023 | Skill-based Robot Programming in Mixed Reality with Ad-hoc Validation Using a Force-enabled Digital Twin · ICRA 2023 |
Methods — techniques the papers use, named apart from their topics
state machine visualization · 1.3force-enabled simulation · 1.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Skill-based Robot Programming in Mixed Reality with Ad-hoc Validation Using a Force-enabled Digital TwinabstractSkill-based programming has proven to be advantageous for assembly tasks, but still requires expert knowledge, especially for force-controlled applications. However, it is error-prone due to the multitude of parameters, e.g. different coordinate frames and either position-, velocity- or force-controlled motions on the axes of a frame. We propose a mixed reality based solution, which systematically visualizes the geometric constraints of advanced high-level skills directly in the real-world robotic environment and provides a user interface to create applications efficiently and safely in mixed reality. Therefore, state-machine information is also visualized, and a holographic digital twin allows the user to ad-hoc validate the program via force-enabled simulation. The approach is evaluated on a top hat rail mounting task, proving the capability of the system to handle advanced assembly programming tasks efficiently and tangibly. Jan Krieglstein, Gesche Held, Balázs András Bálint, Frank Nägele, Werner Kraus |
ICRA | 2 |