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cs.RO2026
FASA: Feedback-Aware Sampling Adaptation for Efficient Diffusion-Based VLA Models
Yuchen Han, Jianhan Wu, Xiaoyang Qu +3
Diffusion-based Vision-Language-Action (VLA) models achieve strong performance in embodied tasks, but their iterative sampling imposes heavy computational and memory-access cost, b…
cs.ET2026
MiTa: A Hierarchical Multi-Agent Collaboration Framework with Memory-integrated and Task Allocation
XiaoJie Zhang, JianHan Wu, Xiaoyang Qu +1
Recent advances in large language models (LLMs) have substantially accelerated the development of embodied agents. LLM-based multi-agent systems mitigate the inefficiency of single…