Survey of Emerging Topics in AI and Robotics

The October 23, 2025 collaboration between UC San Diego , NVIDIA , META , UW-Madison , and UNC introduces **Real Deep Research (RDR)**, a systematic framework designed to analyze vast amounts of research literature in rapidly growing fields such as AI and robotics. The methodology uses **large language and multimodal models (LLMs/LMMs)** for content extraction, reasoning, and semantic embedding to map the research landscape. RDR’s capabilities include generating detailed surveys, analyzing **topic trends over time**, and identifying **cross-domain opportunities** across computer vision, NLP, machine learning, and robotics. Quantitative evaluations demonstrate that RDR produces higher-quality, more accurate surveys compared to existing commercial LLM-based tools, offering a valuable resource for researchers looking to track emerging areas and high-impact papers. The paper details the pipeline's components, including data collection from top conferences, perspective-guided content reasoning, and embedding analysis for clustering and knowledge discovery.

Source:

https://arxiv.org/pdf/2510.20809