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Philip Gümbel

dblp:383/4700 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
end effector
0.812024
Design of Highly Repeatable and Multi-Functional Grippers for Precision Handling with Articulated Robots · ICRA 2024
Robotics › Robot manipulation › grasping
gripper design
0.812024
Design of Highly Repeatable and Multi-Functional Grippers for Precision Handling with Articulated Robots · ICRA 2024
Robotics › Robot manipulation › robot manipulator
articulated robot
0.212024
Design of Highly Repeatable and Multi-Functional Grippers for Precision Handling with Articulated Robots · ICRA 2024
Robotics › Robot manipulation
industrial robot
0.212024
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
YearPublicationVenuePosition
2024 Design of Highly Repeatable and Multi-Functional Grippers for Precision Handling with Articulated Robots
abstract
This 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
ICRA1