RoboFL: Federated Expert Assembly for World Action Models
cs.RO, cs.AI
Submitted: 2026-09-28
Updated: 2026-09-28
Terminology
Sources
- Cosmos World Foundation Model Platform for Physical AI
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
- InternVLA-A1: Unifying Understanding, Generation and Action for Robotic Manipulation
- Distilling the Knowledge in a Neural Network
- $\omega$-0: A Latent Predictive World Action Model for Concurrent Humanoid Loco-Manipulation
- Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models
- Robobench: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models as Embodied Brain
- Three Approaches for Personalization with Applications to Federated Learning
- FedMoE: Personalized Federated Learning via Heterogeneous Mixture of Experts
- FedVLA: Federated Vision-Language-Action Learning with Dual Gating Mixture-of-Experts for Robotic Manipulation
- RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins (early version)
- Expertise need not monopolize: Action-Specialized Mixture of Experts for Vision-Language-Action Learning
- GigaWorld-Policy: An Efficient Action-Centered World--Action Model
- World Action Models are Zero-shot Policies
- ForgeVLA: Federated Vision-Language-Action Learning without Language Annotations
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