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]
「CV顶会王」李弘扬投身具身智能赛道!
自动驾驶之心·2025-12-15 00:04