SoFar: Language-Grounded Orientation Bridges Spatial Reasoning and Object Manipulation
On the map: LLM reasoning → Spatial and embodied reasoning
Abstract (arXiv)
While spatial reasoning has made progress in object localization relationships, it often overlooks object orientation-a key factor in 6-DoF fine-grained manipulation. Traditional pose representations rely on pre-defined frames or templates, limiting generalization and semantic grounding. In this paper, we introduce the concept of semantic orientation, which defines object orientations using natural language in a reference-frame-free manner (e.g., the "plug-in" direction of a USB or the "handle" direction of a cup). To support this, we construct OrienText300K, a large-scale dataset of 3D objects annotated with semantic orientations, and develop PointSO, a general model for zero-shot semantic orientation prediction. By integrating semantic orientation into VLM agents, our SoFar framework enables 6-DoF spatial reasoning and generates robotic actions. Extensive experiments demonstrated the effectiveness and generalization of our SoFar, e.g., zero-shot 48.7% successful rate on Open6DOR and zero-shot 74.9% successful rate on SIMPLER-Env.
Key facts. Cited by 46 papers in the map (data through 14 Oct 2026). Placed in Spatial and embodied reasoning, one of 17 directions in LLM reasoning. Builds on 139 of its 181 references that are in the map. First posted on arXiv 18 Feb 2025.
Builds on
139 of 181 references.
Closest ancestors · 9
Same direction, newest first
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- 2023ManipLLM: Embodied Multimodal Large Language Model for Object-Centric Robotic Manipulation24 Dec
- 2022Inner Monologue: Embodied Reasoning through Planning with Language Models12 Jul
Other references · 130
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