2 papers
cs.RO2026
HIL-UMI: Bringing Human-in-the-Loop Post-Training of Vision-Language-Action Models to Universal Manipulation Interface
Zimu Han, Yiming Zeng, Jiyao Zhang +9
Large-scale vision-language-action (VLA) models provide powerful priors for robot manipulation, yet adapting them to a specific deployment remains challenging. Supervised fine-tuni…
cs.RO2026
Dense to MoE Adaptation for Compact Vision Language Action Policies
Muchun Niu, Shuang Chen, Yuzhou Wu +5
Vision language action (VLA) policies continue to grow in parameter count, making deployment on resource-constrained robot platforms difficult. The central goal is to reduce the nu…