3 6 Ke·2025-10-28 08:33Core Insights - Yang Jifeng, former head of AI Lab at Great Wall Motors, has joined UBTECH as a technical partner and co-CEO of its logistics subsidiary UQI, leveraging his AI and mass production experience in the automotive industry for humanoid robot commercialization, particularly in smart logistics scenarios [1][3][4] Group 1: Background of Yang Jifeng - Yang Jifeng entered the autonomous driving field in 2014, holding significant positions at FAW-Volkswagen Audi, Shenzhen Yicheng Autonomous Driving, and the China Electric Vehicle Hundred People Association Innovation Center [3] - After joining Great Wall Motors in 2021, he served as Senior Director of the Intelligent Center, overseeing the implementation of smart cockpit and AI assistant products, and later led the establishment of Great Wall Motors AI Lab, focusing on AI model development [3][4] - He also served as CTO of Caresoft Global, managing a research team of over 2,000 and establishing R&D and data centers in multiple countries [3] Group 2: UBTECH and UQI's Strategic Focus - UQI, the smart logistics subsidiary of UBTECH, aims to efficiently and cost-effectively transform existing technology into stable and reliable commercial products, with a focus on B-end scenarios [3][4] - The logistics and "pan-logistics" sectors, including warehousing, sorting, and factory transportation, are viewed as promising application areas for humanoid robots, with UQI tasked with executing UBTECH's initiatives in this domain [3][4] Group 3: Technological Synergy - Humanoid robots in logistics require advanced capabilities in environmental perception, autonomous navigation, dynamic obstacle avoidance, and collaborative decision-making, aligning closely with Yang Jifeng's previous work in the "Coffee Intelligent Driving" project [4] - Yang Jifeng's experience in implementing complex AI projects in the automotive sector will support UQI in advancing its smart logistics initiatives [4] - The recruitment of executives with substantial mass production experience reflects a trend of convergence between the smart automotive and humanoid robot sectors, facilitating the application of automotive AI mass production experience to humanoid robots in logistics scenarios [4]