EquiVLA: A General Framework for Rotationally Equivariant Vision-Language-Action Models
On the map: Vision-language-action models → 3D and spatial-aware VLA
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Abstract (arXiv)
Vision-Language-Action (VLA) models have emerged as a powerful paradigm for generalist robot manipulation, yet they lack geometric inductive biases: policies trained at specific orientations require substantially more data to generalize across rotational configurations. We present textscEquiVLA, the first general framework for end-to-end SO(2)-equivariant VLA models, applicable to any architecture coupling a frozen vision-language backbone with a flow-matching Diffusion Transformer action head. textscEquiVLA introduces textscEquiPerceptor, which produces approximately SO(2)-equivariant visual representations from frozen ViT features; and textscEquiActor, an exactly SO(2)-equivariant flow-matching Diffusion Transformer action head. Together, they establish an approximate SO(2) equivariance chain from camera observations to predicted action sequences. Instantiated on GR00T~N1.5 and evaluated across four LIBERO suites, CALVIN ABCD→D, and five real-robot tasks on Mobile ALOHA, textscEquiVLA achieves 92.6% average success on LIBERO (vs. 78.1% baseline), an average sequence length of 4.03 on CALVIN (vs. 3.45), and improves real-robot success from 54% to 72%.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Placed in 3D and spatial-aware VLA, one of 13 directions in Vision-language-action models. Builds on 34 of its 37 references that are in the map. First posted on arXiv 18 Jun 2026.
Builds on
34 of 37 references.
References · 34
- 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 29,915
- 2023RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Controlcited by 2,993
- 2024OpenVLA: An Open-Source Vision-Language-Action Modelcited by 2,777
- 2023Diffusion Policy: Visuomotor Policy Learning via Action Diffusioncited by 2,730
- 2024π0: A Vision-Language-Action Flow Model for General Robot Controlcited by 2,297
- 2022RT-1: Robotics Transformer for Real-World Control at Scalecited by 2,007
- 2025π0.5: a Vision-Language-Action Model with Open-World Generalizationcited by 1,653
- 2024Octo: An Open-Source Generalist Robot Policycited by 1,427
- 2023LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learningcited by 1,338
- 2025GR00T N1: An Open Foundation Model for Generalist Humanoid Robotscited by 1,167
- 2025Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Successcited by 844
- 2024RDT-1B: a Diffusion Foundation Model for Bimanual Manipulationcited by 670
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- 2019RLBench: The Robot Learning Benchmark & Learning Environmentcited by 669
- 2021CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Taskscited by 564
- 2025SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Roboticscited by 507
- 2019General E(2)-Equivariant Steerable CNNscited by 441
- 2024CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulationcited by 411
- 2024Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperationcited by 377
- 2021Frame Averaging for Invariant and Equivariant Network Designcited by 166
- 2022What Matters in Language Conditioned Robotic Imitation Learning over Unstructured Datacited by 137
- 2021Provably Strict Generalisation Benefit for Equivariant Modelscited by 90
- 2022SO(2)-Equivariant Reinforcement Learningcited by 79
- 2023FAENet: Frame Averaging Equivariant GNN for Materials Modelingcited by 72
- 2024EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learningcited by 72
- 2024Equivariant Diffusion Policycited by 61
- 2024Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learningcited by 46
- 2022Equivariant Transporter Networkcited by 44
- 2024ET-SEED: Efficient Trajectory-Level SE(3) Equivariant Diffusion Policycited by 24
- 2022SEIL: Simulation-augmented Equivariant Imitation Learningcited by 22
- 2025Large Language-Geometry Model: When LLM meets Equivariancecited by 10
- 2024Approximate Equivariance in Reinforcement Learningcited by 9
- 2025EquAct: An SE(3)-Equivariant Multi-Task Transformer for Open-Loop Robotic Manipulationcited by 8
- 2025A Practical Guide for Incorporating Symmetry in Diffusion Policycited by 4
- 2025Eq.Bot: Enhance Robotic Manipulation Learning via Group Equivariant Canonicalizationcited by 1
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Citing papers per year: 2026: 1.
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- 2025E0: Enhancing Generalization and Fine-Grained Control in VLA Models via Tweedie Discrete Diffusion
- 2026G3VLA: Geometric inductive bias for Vision-Language-Action Models
- 2026RotVLA: Rotational Latent Action for Vision-Language-Action Model
- 2026AWM-VLA: AlignedWorld Modeling for Efficient and Explainable Vision-Language-Action Policies
- 2026π0-EqM: Equilibrium Matching for Closed-Loop Vision-Language-Action Control
- 2026Decoupling Vision, Language, and Action for Efficient Multi-Task Robot Policies
- 2025XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations
- 2025X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model