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Gesche Held

dblp:353/5717 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › assembly
force-guided assembly
0.712023
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
0.712023
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
YearPublicationVenuePosition
2023 Skill-based Robot Programming in Mixed Reality with Ad-hoc Validation Using a Force-enabled Digital Twin
abstract
Skill-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
ICRA2