PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation
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Abstract (arXiv)
The ability for robots to comprehend and execute manipulation tasks based on natural language instructions is a long-term goal in robotics. The dominant approaches for language-guided manipulation use 2D image representations, which face difficulties in combining multi-view cameras and inferring precise 3D positions and relationships. To address these limitations, we propose a 3D point cloud based policy called PolarNet for language-guided manipulation. It leverages carefully designed point cloud inputs, efficient point cloud encoders, and multimodal transformers to learn 3D point cloud representations and integrate them with language instructions for action prediction. PolarNet is shown to be effective and data efficient in a variety of experiments conducted on the RLBench benchmark. It outperforms state-of-the-art 2D and 3D approaches in both single-task and multi-task learning. It also achieves promising results on a real robot.
Key facts. Cited by 56 papers in the map (data through 7 Oct 2026). Builds on 48 of its 54 references that are in the map. First posted on arXiv 27 Sep 2023.
Builds on
48 of 54 references.
References · 48
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Citing papers per year: 2023: 1; 2024: 17; 2025: 24; 2026: 14.
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- 2025From 2D to 3D Cognition: A Brief Survey of General World Models25 Jun 2025
- 2025ManiGaussian++: General Robotic Bimanual Manipulation with Hierarchical Gaussian World Model24 Jun 2025
- 2025GAF: Gaussian Action Field as a 4D Representation for Dynamic World Modeling in Robotic Manipulation17 Jun 2025
- 2024PIVOT-R: Primitive-Driven Waypoint-Aware World Model for Robotic Manipulation14 Oct 2024
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- 2025Generalizable Hierarchical Skill Learning via Object-Centric Representation24 Oct 2025
- 2025Embodied Representation Alignment with Mirror Neurons25 Sep 2025
- 2025Gondola: Grounded Vision Language Planning for Robotic Manipulation12 Jun 2025
- 2025FP3: A 3D Foundation Policy for Robotic Manipulation11 Mar 2025
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- 2024Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation27 Nov 2024
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