UniETP: Unifying Environments for Generalizable Embodied Task Planning
This paper focuses on the problem of Embodied Task Planning, where an agent is required to execute a sequence of atomic actions within an interactive environment to complete a user-specified task. Though a variety of simulators and datasets have previously been built for this task, these efforts are largely isolated, with each using its own observation format, action type, and task domain. This fragmentation complicates comprehensive model evaluation and hinders the scalability of training data. As an effort towards generalizable embodied planning, we propose UniETP, a unified interface integr
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- PossiblePossibly related (embedding) · 51%Xiaomi Open-Sources Robotics-U0: A 38B-Parameter Embodied Generative Model That Unifies Four Robot Tasks - Pandaily →
- FuzzyOverlapping authors or contributors · 62%bytedance/deer-flow →
“Shared author/contributor keys: wang”
- FuzzyOverlapping authors or contributors · 62%ray-project/ray →
“Shared author/contributor keys: wang”
- LinkedLinked via arxiv author · 85%Peiran Xu →
“UniETP: Unifying Environments for Generalizable Embodied Task Planning”
- LinkedLinked via arxiv author · 85%Jiaqi Zheng →
“UniETP: Unifying Environments for Generalizable Embodied Task Planning”
- LinkedLinked via arxiv author · 85%Ziyou Wang →
“UniETP: Unifying Environments for Generalizable Embodied Task Planning”
- LinkedLinked via arxiv author · 85%Yadong Mu →
“UniETP: Unifying Environments for Generalizable Embodied Task Planning”