Title: Real Deep Research from Foundation Model to Robotics
Primary area: foundation or frontier models, including LLMs
Keywords: Deep Research, Knowledge Discovery, LLM, Foundation Model, Robotics, Survey

Abstract: With the rapid growth of research in AI and robotics—now producing over 10,000 papers annually—it has become increasingly difficult for researchers to stay up to date. Fast-evolving trends, the rise of interdisciplinary work, and the need to explore domains beyond one’s expertise all contribute to this challenge. To address these issues, we propose a generalizable pipeline capable of systematically analyzing any research area: identifying emerging trends, uncovering cross-domain opportunities, and offering concrete starting points for new inquiry. In this work, we present Real Deep Research (RDR)—a comprehensive framework applied to the domains of AI and robotics, with a particular focus on foundation models and robotics advancements. We also briefly extend our analysis to other areas of science. The main paper details the construction of the RDR pipeline, while the appendix provides extensive results across each analyzed topic. We hope this work could shed lights on researchers who works in the filed of AI and beyond.