Imagine2Act: Leveraging Object-Action Motion Consistency from Imagined Goals for Robotic Manipulation
cs.RO
Submitted: 2025-09-21
Updated: 2026-09-23
Code: https://github.com/LiangHeng121/Imagine2Act
Terminology
Sources
- Rearrangement: A Challenge for Embodied AI
- 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations
- 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
- Towards Generalizable Vision-Language Robotic Manipulation: A Benchmark and LLM-guided 3D Policy
- Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation
- Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement
- Imagination Policy: Using Generative Point Cloud Models for Learning Manipulation Policies
- TripoSR: Fast 3D Object Reconstruction from a Single Image
- What Matters in Learning from Offline Human Demonstrations for Robot Manipulation
- RT-1: Robotics Transformer for Real-World Control at Scale
- Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks
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