CellAgent: LLM-Driven Multi-Agent Framework for Natural Language-Based Single-Cell Analysis
An LLM-driven multi-agent system for end-to-end single-cell and spatial transcriptomics analysis through natural language, combining hierarchical planning, expert tools, and self-reflective optimization.
Jan 4, 2026
From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation
FSD connects spatial visual reasoning with robotic action by generating structured intermediate representations that improve generalization on unseen manipulation tasks.
Jan 3, 2026