2 papers
cs.RO2024
Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning
Jiachen Li, Qiaozi Gao, Michael Johnston +6
Prompt-based learning has been demonstrated as a compelling paradigm contributing to large language models' tremendous success (LLMs). Inspired by their success in language tasks,…
cs.RO2024
"Don't forget to put the milk back!" Dataset for Enabling Embodied Agents to Detect Anomalous Situations
James F. Mullen, Prasoon Goyal, Robinson Piramuthu +3
Home robots intend to make their users lives easier. Our work assists in this goal by enabling robots to inform their users of dangerous or unsanitary anomalies in their home. Some…