1 citations · 1 across the 2 of their papers we have counts for
11 papers
A computational model of infant sensorimotor exploration in the mobile paradigm
Josua Spisak, Sergiu Tcaci Popescu, Stefan Wermter +2
We present a computational model of the mechanisms that may determine infant behavior in the "mobile paradigm". This paradigm has been used in developmental psychology to explore h…
StateVLM: A State-Aware Vision-Language Model for Robotic Affordance Reasoning
Xiaowen Sun, Matthias Kerzel, Mengdi Li +3
Vision-language models (VLMs) have shown remarkable performance in various robotic tasks, as they can perceive visual information and understand natural language instructions. Howe…
Curriculum-RLAIF: Curriculum Alignment with Reinforcement Learning from AI Feedback
Jiaye Lin, Mengdi Li, Xufeng Zhao +4
Reward models trained through Reinforcement Learning from AI Feedback (RLAIF) methods frequently suffer from limited generalizability, which hinders the alignment performance of po…
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…
Shaken, Not Stirred: A Novel Dataset for Visual Understanding of Glasses in Human-Robot Bartending Tasks
Lukáš Gajdošech, Hassan Ali, Jan-Gerrit Habekost +3
Datasets for object detection often do not account for enough variety of glasses, due to their transparent and reflective properties. Specifically, open-vocabulary object detectors…
Talking to Robots: A Practical Examination of Speech Foundation Models for HRI Applications
Theresa Pekarek Rosin, Julia Gachot, Henri-Leon Kordt +2
Automatic Speech Recognition (ASR) systems in real-world settings need to handle imperfect audio, often degraded by hardware limitations or environmental noise, while accommodating…