LIFD: Anchored Diffusion for 3D-Aware Scene Memory in Robotic Manipulation
cs.RO
Submitted: 2026-09-17
Updated: 2026-09-18
Terminology
Sources
- 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
- SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation
- MemoryVLA: Perceptual-Cognitive Memory in Vision-Language-Action Models for Robotic Manipulation
- BridgeVLA++: A Data-Efficient, Generalizable, and Memory-Augmented Vision-Language-Action Framework for 3D Manipulation
- World Models
- R3M: A Universal Visual Representation for Robot Manipulation
- TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies
- Planning with Diffusion for Flexible Behavior Synthesis
- WorldVLA: Towards Autoregressive Action World Model
- Perceiver IO: A General Architecture for Structured Inputs & Outputs
- Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
- Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
- Classifier-Free Diffusion Guidance
- Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
- RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- FabriVLA: A Lightweight Vision-Language-Action Model with Conformal Action Chunk Uncertainty
- SUREFlow: State-space Uncertainty-aware REsidual Flow Matching for Robust Robot Manipulation
- LA4VLA: Learning to Act without Seeing via Language-Action Pretraining
- RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation
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