2025
RACCOON: Grounding Embodied Question-Answering with State Summaries from Existing Robot Modules
Samuel Bustamante-Gomez, Markus Knauer, Jeremias Thun, Stefan Schneyer, Alin Albu-Schäffer, Bernhard M. Weber +1
ICRA 2025
Explainability is vital for establishing user trust, also in robotics. Recently, foundation models (e.g. vision-language models, VLMs) fostered a wave of embodied agents that answer arbitrary queries about their environment and their interactions with it. However, naively prompting VLMs to answer qu