2 papers
cs.CL2026
IQuest-Q1: Advancing Foundation Capabilities for Agentic CLI Systems
A. Jian Yang, An Huang, Bo Dan +173
We present IQuest-Q1, a sparse Mixture-of-Experts (MoE) agentic foundation model with 320B total parameters (15B activated). IQuest-Q1 is developed through a three-stage process: (…
cs.RO2026
Adaptive Aerial Loco-Manipulation Policy Learning via LLM-Assisted Proactive Task Generation
Jingyu Ru, Xiangyuan Xie, Lixuan Jin +8
Loco-manipulation extends the workspace of conventional manipulation by combining mobility with physical interaction, while aerial loco-manipulation further expands this capability…