3 papers
cs.RO2025
AIRoA MoMa Dataset: A Large-Scale Hierarchical Dataset for Mobile Manipulation
Ryosuke Takanami, Petr Khrapchenkov, Shu Morikuni +32
As robots transition from controlled settings to unstructured human environments, building generalist agents that can reliably follow natural language instructions remains a centra…
cs.RO2025
Mobile Manipulation Instruction Generation from Multiple Images with Automatic Metric Enhancement
Kei Katsumata, Motonari Kambara, Daichi Yashima +2
We consider the problem of generating free-form mobile manipulation instructions based on a target object image and receptacle image. Conventional image captioning models are not a…
cs.RO2024
Open-Vocabulary Mobile Manipulation Based on Double Relaxed Contrastive Learning with Dense Labeling
Daichi Yashima, Ryosuke Korekata, Komei Sugiura
Growing labor shortages are increasing the demand for domestic service robots (DSRs) to assist in various settings. In this study, we develop a DSR that transports everyday objects…