Demo Data from SIGIR 2026 / reviewers in the wild / expert
Philip Gümbel
dblp:383/4700
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
0000-0002-4522-4249ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author · 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% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation
end effector |
0.8 | 1 | 2024 | Design of Highly Repeatable and Multi-Functional Grippers for Precision Handling with Articulated Robots · ICRA 2024 |
Robotics › Robot manipulation › grasping
gripper design |
0.8 | 1 | 2024 | Design of Highly Repeatable and Multi-Functional Grippers for Precision Handling with Articulated Robots · ICRA 2024 |
Robotics › Robot manipulation › robot manipulator
articulated robot |
0.2 | 1 | 2024 | Design of Highly Repeatable and Multi-Functional Grippers for Precision Handling with Articulated Robots · ICRA 2024 |
Robotics › Robot manipulation
industrial robot |
0.2 | 1 | 2024 | Design of Highly Repeatable and Multi-Functional Grippers for Precision Handling with Articulated Robots · ICRA 2024 |
Methods — techniques the papers use, named apart from their topics
vision-based error compensation · 0.8vacuum monitoring · 0.8printed circuit board integration · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Design of Highly Repeatable and Multi-Functional Grippers for Precision Handling with Articulated RobotsabstractThis paper presents a novel approach to designing, a low-cost gripper that is highly repeatable and functionally integrated. The gripper is optimized to compensate for gripping errors with particular consideration to potential challenges of articulated robots. The primary design goal is to achieve maximum repeatability during the gripping and releasing stages of a pick-and-place process for a chip-like silicon die. The design is centered around a custom printed circuit board integrates functionality for vision-based error compensation, vacuum level monitoring, part contact detection, and detection of abnormal vibrations. We detail our design requirements and specific design choices for the mechanical and electronic design and provide qualitative and quantitative experimental validation of the achieved repeatability and the integrated functions. Philip Gümbel, Klaus Dröder |
ICRA | 1 |