Core Insights - RoboX is focusing on embodied intelligence and has entered the robotics manipulation sector, led by researcher Li Hongyang from the University of Hong Kong and Shanghai AI Laboratory [3][4] - The company has formed a research team of several dozen members, covering areas such as VLA, robotics, autonomous driving, and edge computing chips [4] - Li Hongyang's research has significantly advanced autonomous driving technology, particularly through the UniAD framework, which integrates various tasks into a single end-to-end network [6][7] Research Achievements - Li Hongyang's work on the UniAD framework has outperformed state-of-the-art methods on the nuScenes dataset, showcasing its effectiveness in autonomous driving [6] - His previous method, BEVFormer, was recognized as one of the top 100 AI papers in 2022, establishing a benchmark for visual detection in the industry [7] - The team has created a large-scale real robot manipulation dataset called "AgiBot World," which impacts multiple industry scenarios [7] Future Directions - The upcoming paper titled "UniVLA: Learning to Act Anywhere with Task-centric Latent Actions" introduces a task-centric latent action framework that enhances robot strategy learning across different environments [9][10] - UniVLA reduces reliance on labeled data, achieving optimal performance with minimal data in multi-task benchmarks, and supports efficient transfer from internet videos to real robots [10] - The company aims to establish a full-stack self-research route with a vision to enhance few-shot generalization capabilities for humanoid robots in various applications [10][11] Industry Trends - The field of embodied intelligence is gaining traction, with several experts from academia transitioning into this area, indicating a growing interest and investment in the sector [11]

Core Viewpoint - The article discusses the intersection of simulation technology, real data, and world models in the context of embodied intelligence, highlighting the ongoing debate about the importance of simulation versus real data and the potential breakthroughs in world modeling [3][11]. Group 1: Roundtable Discussion - The roundtable focuses on the "data dilemma" in embodied intelligence, featuring four young scientists who explore the boundaries between simulation and real interaction, as well as the technological advancements in world models like Genie [3][11]. - Sergey Levine's assertion that real data is irreplaceable is examined, questioning whether this is a strategic choice or an inevitable path in AI evolution [11]. Group 2: Key Participants - Li Hongyang, an assistant professor at the University of Hong Kong, leads the OpenDriveLab and has made significant contributions to end-to-end autonomous driving solutions, including the award-winning UniAD [4]. - Zhao Hao, an assistant professor at Tsinghua University, specializes in computer vision related to robotics and has co-founded over ten startups since 2009 [5]. - Gu Jiayuan, an assistant professor at ShanghaiTech University, focuses on generalizable robotic decision-making models and has received multiple awards for his research [6][7]. - Mu Yao, an assistant professor at Shanghai Jiao Tong University, has published extensively in top conferences and has received numerous academic honors [7].