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20242026
most citedEFTViT: Efficient Federated Training of Vision Transformers with Masked Images on Resource-Constrained Clients

1 citations · 1 across the 4 of their papers we have counts for

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cs.RO2025

HANDO: Hierarchical Autonomous Navigation and Dexterous Omni-loco-manipulation

Jingyuan Sun, Chaoran Wang, Mingyu Zhang +6

Seamless loco-manipulation in unstructured environments requires robots to leverage autonomous exploration alongside whole-body control for physical interaction. In this work, we i…

cs.RO2025

FedVLA: Federated Vision-Language-Action Learning with Dual Gating Mixture-of-Experts for Robotic Manipulation

Cui Miao, Tao Chang, Meihan Wu +4

Vision-language-action (VLA) models have significantly advanced robotic manipulation by enabling robots to interpret language instructions for task execution. However, training the…