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cs.RO2025
J-ORA: A Framework and Multimodal Dataset for Japanese Object Identification, Reference, Action Prediction in Robot Perception
Jesse Atuhurra, Hidetaka Kamigaito, Taro Watanabe +1
We introduce J-ORA, a novel multimodal dataset that bridges the gap in robot perception by providing detailed object attribute annotations within Japanese human-robot dialogue scen…
cs.RO2024★ 6 cited
Leveraging Large Language Models in Human-Robot Interaction: A Critical Analysis of Potential and Pitfalls
Jesse Atuhurra
The emergence of large language models (LLM) and, consequently, vision language models (VLM) has ignited new imaginations among robotics researchers. At this point, the range of ap…