3 papers
cs.AI2026
NormTune: Norm-Guided Parameter-Efficient Fine-Tuning for Reasoning-Intensive Tasks
Zhangming Li, Qinghao Hu, Weifan Guan +3
Full fine-tuning has achieved remarkable success on reasoning-intensive tasks, but it often requires substantial GPU resource consumption. Parameter-efficient fine-tuning (PEFT) pr…
cs.RO2025
RoboNeuron: A Middle-Layer Infrastructure for Agent-Driven Orchestration in Embodied AI
Weifan Guan, Qinghao Hu, Huasen Xi +3
Vision-language-action (VLA) models and LLM agents have advanced rapidly, yet reliable deployment on physical robots is often hindered by an interface mismatch between agent tool A…
cs.RO2025
Efficient Vision-Language-Action Models for Embodied Manipulation: A Systematic Survey
Weifan Guan, Qinghao Hu, Aosheng Li +1
Vision-Language-Action (VLA) models extend vision-language models to embodied control by mapping natural-language instructions and visual observations to robot actions. Despite the…