3 papers
cs.RO2026
Beyond Static Instruction: A Multi-agent AI Framework for Adaptive Augmented Reality Robot Training
Nicolas Leins, Jana Gonnermann-Müller, Malte Teichmann +1
Augmented Reality (AR) offers powerful visualization capabilities for industrial robot training, yet current interfaces remain predominantly static, failing to account for learners…
cs.RO2026
Investigating the Influence of Spatial Ability in Augmented Reality-assisted Robot Programming
Nicolas Leins, Jana Gonnermann-Müller, Malte Teichmann +1
Augmented Reality (AR) offers promising opportunities to enhance learning, but its mechanisms and effects are not yet fully understood. As learning becomes increasingly personalize…
cs.AI2026
Within-Model vs Between-Prompt Variability in Large Language Models for Creative Tasks
Jennifer Haase, Jana Gonnermann-Müller, Paul H. P. Hanel +4
How much of LLM output variance is explained by prompts versus model choice versus stochasticity through sampling? We answer this by evaluating 12 LLMs on 10 creativity prompts wit…