| BridgeVLA++: A Data-Efficient, Generalizable, and Memory-Augmented Vision-Language-Action Framework for 3D Manipulation | ✓ Link | 93.7 | | | | | | | | BridgeVLA++ | 2026-08-05 |
| EquAct: An SE(3)-Equivariant Multi-Task Transformer for Open-Loop Robotic Manipulation | | 89.4 | 60.1 | | 240 | | | 1.4 | 256 | EquAct | 2025-05-27 |
| Noise-Invariant Spatial Encoding for 3D Manipulation Policies under Depth Corruption | | 89.0 | | | | | | | | NISE | 2026-10-17 |
| BridgeVLA: Input-Output Alignment for Efficient 3D Manipulation Learning with Vision-Language Models | ✓ Link | 88.2 | | | | | | | | BridgeVLA | 2025-06-09 |
| SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation | ✓ Link | 86.8 | | | 200 | | | | 128 | SAM2Act | 2025-01-30 |
| Autoregressive Action Sequence Learning for Robotic Manipulation | ✓ Link | 84.9 | | | | | | | | ARP+ | 2024-10-04 |
| Towards Generalizable Vision-Language Robotic Manipulation: A Benchmark and LLM-guided 3D Policy | ✓ Link | 83.1 | | 0.28 | 40 | | | 9.5 | 256 | 3D-LOTUS | 2024-10-02 |
| Look Before Acting: Enhancing Vision Foundation Representations for Vision-Language-Action Models | | 83.0 | | | | | | | | DeepVision-VLA | 2026-03-16 |
| RVT-2: Learning Precise Manipulation from Few Demonstrations | ✓ Link | 81.4 | | 0.83 | | | | 20.6 | 128 | RVT-2 | 2024-06-12 |
| 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations | ✓ Link | 81.3 | | 8 | 936 | | | | 256 | 3D Diffuser Actor | 2024-02-18 |
| Mini Diffuser: Fast Multi-task Diffusion Policy Training Using Two-level Mini-batches | ✓ Link | 77.6 | | 0.24 | 24 | | | | 256 | Mini Diffuser | 2025-05-14 |
| SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation | | 70.6 | | | | | | | | SAM-E | 2024-05-30 |
| Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation | ✓ Link | 65 | 48 | 5 | | | | | 256 | Act3D | 2023-06-30 |
| RVT: Robotic View Transformer for 3D Object Manipulation | ✓ Link | 62.9 | | 1 | | | | 11.6 | 128 | RVT | 2023-06-26 |
| Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation | ✓ Link | 49.4 | | 16 | | | | 4.9 | 128 | PerAct (Evaluated in RVT) | 2022-09-12 |
| PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation | ✓ Link | 46.4 | | 5 | | 89.8 | 60.3 | | 128 | PolarNet | 2023-09-27 |
| Instruction-driven history-aware policies for robotic manipulations | ✓ Link | 45.3 | | | | 83.3 | | | | Hiveformer | 2022-09-11 |
| Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation | ✓ Link | 42.7 | 30 | 16 | | | | | 128 | PerAct | 2022-09-12 |
| Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation | ✓ Link | 20.1 | | | | | | | 128 | C2FARM-BC (Evaluated in PerAct) | 2021-06-23 |
| Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation | ✓ Link | 1.3 | | | | | | | 128 | Image-BC VIT | 2022-09-12 |
| Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation | ✓ Link | 1.3 | | | | | | | 128 | Image-BC CNN | 2022-09-12 |
| Auto-Lambda: Disentangling Dynamic Task Relationships | ✓ Link | | | | | 69.3 | | | | Auto-λ | 2022-02-07 |