4 citations · 4 across the 5 of their papers we have counts for
5 papers
StateVLM: A State-Aware Vision-Language Model for Robotic Affordance Reasoning
Xiaowen Sun, Matthias Kerzel, Mengdi Li +3
Vision-language models have demonstrated strong performance across robotic perception and instruction-following tasks. However, they still struggle with precise spatial reasoning,…
Uncertainty, Vagueness, and Ambiguity in Human-Robot Interaction: Why Conceptualization Matters
Xiaowen Sun, Cornelius Weber, Matthias Kerzel +2
Uncertainty, vagueness, and ambiguity are closely related and often confused concepts in human-robot interaction (HRI). In earlier studies, these concepts have been defined in cont…
A Framework for Adapting Human-Robot Interaction to Diverse User Groups
Theresa Pekarek Rosin, Vanessa Hassouna, Xiaowen Sun +4
To facilitate natural and intuitive interactions with diverse user groups in real-world settings, social robots must be capable of addressing the varying requirements and expectati…
Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning
Xiaowen Sun, Xufeng Zhao, Jae Hee Lee +3
The state of an object reflects its current status or condition and is important for a robot's task planning and manipulation. However, detecting an object's state and generating a…
Teaching Text-to-Image Models to Communicate in Dialog
Xiaowen Sun, Jiazhan Feng, Yuxuan Wang +3
A picture is worth a thousand words, thus, it is crucial for conversational agents to understand, perceive, and effectively respond with pictures. However, we find that directly em…