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Jan Krieglstein

dblp:293/5614 · DBLP profile ↗
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2ranked-venue papers
2as first author
2since 2021 · last 2025
0000-0003-2538-3653ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 2 first-author · 2 since 2021Systems, architecture and hardware · 2 · 2 first-author · 2 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.

Human-computer interaction and pervasive computing
2 papers
Immersive interaction · 47% Human-robot interaction · 27% Interaction techniques and input · 27%
Artificial intelligence
1 paper
Robot manipulation · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction › robot programming
augmented reality robot programming
0.912025
A Hybrid User Interface Combining AR, Desktop, and Mobile Interfaces for Enhanced Industrial Robot Programming · ICRA 2025
Interaction techniques and input › cross-device interaction
cross-device interfaces
0.912025
A Hybrid User Interface Combining AR, Desktop, and Mobile Interfaces for Enhanced Industrial Robot Programming · ICRA 2025
Immersive interaction › mixed reality interaction
hybrid user interface
0.912025
A Hybrid User Interface Combining AR, Desktop, and Mobile Interfaces for Enhanced Industrial Robot Programming · ICRA 2025
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 · 1.3expert user study · 0.9
YearPublicationVenuePosition
2025 A Hybrid User Interface Combining AR, Desktop, and Mobile Interfaces for Enhanced Industrial Robot Programming
abstract
Robot programming for complex assembly tasks is challenging and demands expert knowledge. With Augmented Reality (AR), immersive 3D visualization can be placed in the robot's intrinsic coordinate system to support robot programming. However, AR interfaces introduce usability challenges. To address these, we introduce a hybrid user interface (HUI) that combines a 2D desktop, a smartphone, and an AR head-mounted display (HMD) application, enabling operators to choose the most suitable device for each sub-task. The evaluation with an expert user study shows that an HUI can enhance efficiency and user experience by selecting the appropriate device for each sub-task. Generally, the HMD is preferred for tasks involving 3D content, the desktop for creating the program structure and parametrization, and the smartphone for mobile parametrization. However, the device selection depends on individual user characteristics and their familiarity with the devices.
Jan Krieglstein, Jan Kolberg, Aimée Sousa Calepso, Werner Kraus, Michael Sedlmair
ICRA1
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
ICRA1