activity
20232025
most citedHuman-AI Interaction in Industrial Robotics: Design and Empirical Evaluation of a User Interface for Explainable AI-Based Robot Program Optimization

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2025

Learning Hierarchical Domain Models Through Environment-Grounded Interaction

Claudius Kienle, Benjamin Alt, Oleg Arenz +1

Domain models enable autonomous agents to solve long-horizon tasks by producing interpretable plans. However, in open-world environments, a single general domain model cannot captu…

cs.RO2025

AI-based Framework for Robust Model-Based Connector Mating in Robotic Wire Harness Installation

Claudius Kienle, Benjamin Alt, Finn Schneider +3

Despite the widespread adoption of industrial robots in automotive assembly, wire harness installation remains a largely manual process, as it requires precise and flexible manipul…

cs.RO2024

QueryCAD: Grounded Question Answering for CAD Models

Claudius Kienle, Benjamin Alt, Darko Katic +2

CAD models are widely used in industry and are essential for robotic automation processes. However, these models are rarely considered in novel AI-based approaches, such as the aut…

cs.RO2024

Shadow Program Inversion with Differentiable Planning: A Framework for Unified Robot Program Parameter and Trajectory Optimization

Benjamin Alt, Claudius Kienle, Darko Katic +2

This paper presents SPI-DP, a novel first-order optimizer capable of optimizing robot programs with respect to both high-level task objectives and motion-level constraints. To that…

cs.RO2024

MuTT: A Multimodal Trajectory Transformer for Robot Skills

Claudius Kienle, Benjamin Alt, Onur Celik +4

High-level robot skills represent an increasingly popular paradigm in robot programming. However, configuring the skills' parameters for a specific task remains a manual and time-c…

cs.RO2024★ 1 cited

Human-AI Interaction in Industrial Robotics: Design and Empirical Evaluation of a User Interface for Explainable AI-Based Robot Program Optimization

Benjamin Alt, Johannes Zahn, Claudius Kienle +7

While recent advances in deep learning have demonstrated its transformative potential, its adoption for real-world manufacturing applications remains limited. We present an Explana…

cs.LG2023

Multi-Object Self-Supervised Depth Denoising

Claudius Kienle, David Petri

Depth cameras are frequently used in robotic manipulation, e.g. for visual servoing. The quality of small and compact depth cameras is though often not sufficient for depth reconst…